System manufacturer System Product Name
Geekbench AI Score
2706
Single Precision Score
1291
Half Precision Score
3070
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | alexvb |
| Upload Date | October 29 2024 04:19 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700G |
| System Information | |
|---|---|
| Operating System | Windows 11 Home Single Language (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B450-PLUS |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1649
306.7 IPS |
|
|
Image Classification (HP)
|
100% |
479
89.1 IPS |
|
|
Image Classification (Q)
|
96% |
3065
572.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1283
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
757
12.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
2032
33.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5264
6.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
3774
4.40 IPS |
|
|
Pose Estimation (Q)
|
87% |
11899
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1894
150.2 IPS |
|
|
Object Detection (HP)
|
100% |
583
46.3 IPS |
|
|
Object Detection (Q)
|
86% |
1662
133.6 IPS |
|
|
Face Detection (SP)
|
100% |
2270
27.0 IPS |
|
|
Face Detection (HP)
|
100% |
1285
15.3 IPS |
|
|
Face Detection (Q)
|
96% |
3661
43.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5929
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1990
15.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
5826
46.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12493
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10714
13.8 IPS |
|
|
Style Transfer (Q)
|
87% |
15940
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2069
76.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1679
62.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2730
101.1 IPS |
|
|
Text Classification (SP)
|
100% |
1523
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
614
819.7 IPS |
|
|
Text Classification (Q)
|
97% |
399
534.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1889
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
571
9.84 IPS |
|
|
Machine Translation (Q)
|
60% |
1633
36.4 IPS |
