Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX
Geekbench ML Score
22592
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 20 2024 09:02 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
| Power Plan | Prestazioni eccellenti |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 96.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
10015
1.87 KIPS |
|
|
Image Classification (F16)
|
100% |
10667
2.00 KIPS |
|
|
Image Classification (I8)
|
100% |
8825
1.65 KIPS |
|
|
Image Segmentation (F32)
|
100% |
18306
305.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
18187
303.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
16859
281.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
159051
192.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
160078
193.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
144200
174.6 IPS |
|
|
Object Detection (F32)
|
100% |
6957
519.4 IPS |
|
|
Object Detection (F16)
|
100% |
6944
518.4 IPS |
|
|
Object Detection (I8)
|
63% |
6250
466.6 IPS |
|
|
Face Detection (F32)
|
100% |
33857
402.6 IPS |
|
|
Face Detection (F16)
|
100% |
35921
427.1 IPS |
|
|
Face Detection (I8)
|
89% |
29420
349.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
63105
489.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
59349
460.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
48469
375.9 IPS |
|
|
Style Transfer (F32)
|
100% |
272508
358.5 IPS |
|
|
Style Transfer (F16)
|
100% |
272821
358.9 IPS |
|
|
Style Transfer (I8)
|
98% |
241119
317.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
44058
1.57 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
44504
1.59 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
32557
1.16 KIPS |
|
|
Text Classification (F32)
|
100% |
2917
4.19 KIPS |
|
|
Text Classification (F16)
|
100% |
2902
4.17 KIPS |
|
|
Text Classification (I8)
|
98% |
1823
2.62 KIPS |
|
|
Machine Translation (F32)
|
100% |
4443
81.8 IPS |
|
|
Machine Translation (F16)
|
100% |
5078
93.5 IPS |
|
|
Machine Translation (I8)
|
70% |
2738
50.4 IPS |
