Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
Geekbench ML Score
5497
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 18 2024 02:07 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M AORUS PRO AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650M AORUS PRO AX |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2867
536.5 IPS |
|
|
Image Classification (F16)
|
100% |
3039
568.8 IPS |
|
|
Image Classification (I8)
|
100% |
2520
471.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2935
49.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2937
49.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2549
42.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
36834
44.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
38232
46.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
30482
36.9 IPS |
|
|
Object Detection (F32)
|
100% |
1887
140.9 IPS |
|
|
Object Detection (F16)
|
100% |
1969
147.0 IPS |
|
|
Object Detection (I8)
|
62% |
1826
136.3 IPS |
|
|
Face Detection (F32)
|
100% |
5912
70.3 IPS |
|
|
Face Detection (F16)
|
100% |
5904
70.2 IPS |
|
|
Face Detection (I8)
|
89% |
4594
54.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16467
127.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
15348
119.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
13119
101.7 IPS |
|
|
Style Transfer (F32)
|
100% |
32129
42.3 IPS |
|
|
Style Transfer (F16)
|
100% |
31438
41.4 IPS |
|
|
Style Transfer (I8)
|
98% |
28285
37.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5862
209.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5877
209.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4551
162.5 IPS |
|
|
Text Classification (F32)
|
100% |
1637
2.35 KIPS |
|
|
Text Classification (F16)
|
100% |
1634
2.35 KIPS |
|
|
Text Classification (I8)
|
98% |
1378
1.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
2725
50.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2744
50.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1739
32.0 IPS |
