Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX
Geekbench ML Score
5145
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 19 2024 03:29 PM |
| Views | 5 |
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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 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 | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2584
483.5 IPS |
|
|
Image Classification (F16)
|
100% |
2570
480.9 IPS |
|
|
Image Classification (I8)
|
100% |
2227
416.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2748
45.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2720
45.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2331
38.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
35169
42.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
35924
43.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
25759
31.2 IPS |
|
|
Object Detection (F32)
|
100% |
1946
145.3 IPS |
|
|
Object Detection (F16)
|
100% |
1804
134.7 IPS |
|
|
Object Detection (I8)
|
62% |
1843
137.6 IPS |
|
|
Face Detection (F32)
|
100% |
4897
58.2 IPS |
|
|
Face Detection (F16)
|
100% |
4898
58.2 IPS |
|
|
Face Detection (I8)
|
89% |
3777
44.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
15687
121.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
15711
121.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
12482
96.8 IPS |
|
|
Style Transfer (F32)
|
100% |
31469
41.4 IPS |
|
|
Style Transfer (F16)
|
100% |
31025
40.8 IPS |
|
|
Style Transfer (I8)
|
98% |
26147
34.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5891
210.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6071
216.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4626
165.2 IPS |
|
|
Text Classification (F32)
|
100% |
1592
2.29 KIPS |
|
|
Text Classification (F16)
|
100% |
1487
2.14 KIPS |
|
|
Text Classification (I8)
|
98% |
1385
1.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
2486
45.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2525
46.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1676
30.8 IPS |
