System manufacturer System Product Name
Geekbench AI Score
4405
Single Precision Score
1744
Half Precision Score
4477
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | neo9922 |
| Upload Date | December 24 2024 12:22 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X570-F GAMING |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 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% |
3668
682.1 IPS |
|
|
Image Classification (HP)
|
100% |
682
126.8 IPS |
|
|
Image Classification (Q)
|
96% |
5358
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2211
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
914
14.8 IPS |
|
|
Image Segmentation (Q)
|
97% |
2153
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6827
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
5634
6.57 IPS |
|
|
Pose Estimation (Q)
|
86% |
13087
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
3333
264.4 IPS |
|
|
Object Detection (HP)
|
100% |
855
67.8 IPS |
|
|
Object Detection (Q)
|
58% |
2822
308.4 IPS |
|
|
Face Detection (SP)
|
100% |
6804
80.8 IPS |
|
|
Face Detection (HP)
|
100% |
1766
21.0 IPS |
|
|
Face Detection (Q)
|
96% |
8354
99.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9445
72.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2226
17.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
12466
99.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16663
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12915
16.6 IPS |
|
|
Style Transfer (Q)
|
87% |
17063
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3011
111.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2423
89.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3402
126.1 IPS |
|
|
Text Classification (SP)
|
100% |
1762
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
853
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
437
586.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2626
45.2 IPS |
|
|
Machine Translation (HP)
|
100% |
828
14.3 IPS |
|
|
Machine Translation (Q)
|
68% |
2876
55.6 IPS |
