ASUS System Product Name
Geekbench ML Score
5023
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 08 2025 10:09 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B850M-K |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 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 | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2700
505.3 IPS |
|
|
Image Classification (F16)
|
100% |
2691
503.5 IPS |
|
|
Image Classification (I8)
|
99% |
5674
1.06 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2309
38.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2335
39.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
3698
61.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
8112
9.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
8168
9.89 IPS |
|
|
Pose Estimation (I8)
|
100% |
22774
27.6 IPS |
|
|
Object Detection (F32)
|
100% |
2527
188.7 IPS |
|
|
Object Detection (F16)
|
100% |
2475
184.8 IPS |
|
|
Object Detection (I8)
|
62% |
2599
194.0 IPS |
|
|
Face Detection (F32)
|
100% |
4589
54.6 IPS |
|
|
Face Detection (F16)
|
100% |
4570
54.3 IPS |
|
|
Face Detection (I8)
|
89% |
5575
66.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
9433
73.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
9497
73.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
18492
143.4 IPS |
|
|
Style Transfer (F32)
|
100% |
20206
26.6 IPS |
|
|
Style Transfer (F16)
|
100% |
20121
26.5 IPS |
|
|
Style Transfer (I8)
|
98% |
30060
39.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4067
145.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4052
144.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5057
180.6 IPS |
|
|
Text Classification (F32)
|
100% |
2202
3.17 KIPS |
|
|
Text Classification (F16)
|
100% |
2198
3.16 KIPS |
|
|
Text Classification (I8)
|
98% |
1535
2.21 KIPS |
|
|
Machine Translation (F32)
|
100% |
2831
52.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2829
52.1 IPS |
|
|
Machine Translation (I8)
|
67% |
4535
83.5 IPS |
