Generic
Geekbench AI Score
3439
Single Precision Score
837
Half Precision Score
3677
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | vassourabfc |
| Upload Date | September 29 2024 01:37 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B550 Phantom Gaming-ITX/ax |
| Power Plan | Desempenho Mximo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1617
300.7 IPS |
|
|
Image Classification (HP)
|
100% |
148
27.5 IPS |
|
|
Image Classification (Q)
|
97% |
3359
626.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1755
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
246
3.99 IPS |
|
|
Image Segmentation (Q)
|
97% |
2430
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9177
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
6708
7.83 IPS |
|
|
Pose Estimation (Q)
|
87% |
17637
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2185
173.3 IPS |
|
|
Object Detection (HP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (Q)
|
86% |
1879
151.1 IPS |
|
|
Face Detection (SP)
|
100% |
3223
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
306
3.63 IPS |
|
|
Face Detection (Q)
|
96% |
4261
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8116
62.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
998
7.69 IPS |
|
|
Depth Estimation (Q)
|
76% |
7742
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19962
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17095
22.0 IPS |
|
|
Style Transfer (Q)
|
87% |
19832
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2431
89.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1999
73.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3056
113.2 IPS |
|
|
Text Classification (SP)
|
100% |
1403
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
551
735.3 IPS |
|
|
Text Classification (Q)
|
97% |
387
518.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2285
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
574
9.89 IPS |
|
|
Machine Translation (Q)
|
60% |
2162
48.2 IPS |
