System manufacturer System Product Name
Geekbench ML Score
1275
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 05:34 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Education (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B450-PLUS |
| Power Plan | Wysoka wydajno |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 1700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 64.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 8.00 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
809
151.4 IPS |
|
|
Image Classification (F16)
|
100% |
811
151.7 IPS |
|
|
Image Classification (I8)
|
97% |
928
173.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
461
7.70 IPS |
|
|
Image Segmentation (F16)
|
100% |
460
7.69 IPS |
|
|
Image Segmentation (I8)
|
97% |
833
13.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
2613
3.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
2619
3.17 IPS |
|
|
Pose Estimation (I8)
|
100% |
2514
3.04 IPS |
|
|
Object Detection (F32)
|
100% |
772
57.6 IPS |
|
|
Object Detection (F16)
|
100% |
810
60.5 IPS |
|
|
Object Detection (I8)
|
60% |
608
45.4 IPS |
|
|
Face Detection (F32)
|
100% |
1366
16.2 IPS |
|
|
Face Detection (F16)
|
100% |
1475
17.5 IPS |
|
|
Face Detection (I8)
|
87% |
1566
18.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2884
22.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
3079
23.9 IPS |
|
|
Depth Estimation (I8)
|
74% |
2975
23.1 IPS |
|
|
Style Transfer (F32)
|
100% |
6443
8.48 IPS |
|
|
Style Transfer (F16)
|
100% |
5345
7.03 IPS |
|
|
Style Transfer (I8)
|
85% |
5576
7.33 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1131
40.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1130
40.4 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1057
37.8 IPS |
|
|
Text Classification (F32)
|
100% |
692
994.7 IPS |
|
|
Text Classification (F16)
|
100% |
710
1.02 KIPS |
|
|
Text Classification (I8)
|
94% |
213
305.7 IPS |
|
|
Machine Translation (F32)
|
100% |
948
17.5 IPS |
|
|
Machine Translation (F16)
|
100% |
973
17.9 IPS |
|
|
Machine Translation (I8)
|
67% |
1011
18.6 IPS |
