ASUS System Product Name
Geekbench ML Score
5527
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 10 2025 08:54 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-I GAMING WIFI |
| Power Plan | Balanced |
| 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% |
2903
543.2 IPS |
|
|
Image Classification (F16)
|
100% |
2844
532.3 IPS |
|
|
Image Classification (I8)
|
99% |
6017
1.13 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2538
42.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2464
41.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
4034
67.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
8601
10.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
8670
10.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
28635
34.7 IPS |
|
|
Object Detection (F32)
|
100% |
2732
203.9 IPS |
|
|
Object Detection (F16)
|
100% |
2771
206.9 IPS |
|
|
Object Detection (I8)
|
62% |
2799
209.0 IPS |
|
|
Face Detection (F32)
|
100% |
5595
66.5 IPS |
|
|
Face Detection (F16)
|
100% |
5609
66.7 IPS |
|
|
Face Detection (I8)
|
89% |
6864
81.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
10108
78.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
10270
79.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
20793
161.2 IPS |
|
|
Style Transfer (F32)
|
100% |
20188
26.6 IPS |
|
|
Style Transfer (F16)
|
100% |
21863
28.8 IPS |
|
|
Style Transfer (I8)
|
98% |
34807
45.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4260
152.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4240
151.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5299
189.2 IPS |
|
|
Text Classification (F32)
|
100% |
2376
3.41 KIPS |
|
|
Text Classification (F16)
|
100% |
2410
3.46 KIPS |
|
|
Text Classification (I8)
|
98% |
1574
2.26 KIPS |
|
|
Machine Translation (F32)
|
100% |
3423
63.0 IPS |
|
|
Machine Translation (F16)
|
100% |
3341
61.5 IPS |
|
|
Machine Translation (I8)
|
67% |
4719
86.8 IPS |
