5800x3d+rtx3090 AB350M Pro4
Geekbench AI Score
22980
Single Precision Score
33232
Half Precision Score
13943
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | kinski |
| Upload Date | August 24 2024 02:36 PM |
| Views | 7 |
| Notes | https://www.techpowerup.com/gpuz/e9rnm https://valid.x86.fr/gm5nm4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AB350M Pro4 |
| Motherboard | ASRock AB350M Pro4 |
| Power Plan | Tasakaalustatud |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8669
1.61 KIPS |
|
|
Image Classification (HP)
|
99% |
11591
2.16 KIPS |
|
|
Image Classification (Q)
|
100% |
5651
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14324
232.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18412
298.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
10743
174.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
167477
195.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
349953
408.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
128965
151.0 IPS |
|
|
Object Detection (SP)
|
100% |
11426
906.3 IPS |
|
|
Object Detection (HP)
|
100% |
15434
1.22 KIPS |
|
|
Object Detection (Q)
|
89% |
7715
617.6 IPS |
|
|
Face Detection (SP)
|
100% |
29337
348.6 IPS |
|
|
Face Detection (HP)
|
100% |
38911
462.3 IPS |
|
|
Face Detection (Q)
|
97% |
19164
228.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
57663
444.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99554
767.0 IPS |
|
|
Depth Estimation (Q)
|
69% |
32317
273.8 IPS |
|
|
Style Transfer (SP)
|
100% |
278392
357.9 IPS |
|
|
Style Transfer (HP)
|
100% |
614308
789.7 IPS |
|
|
Style Transfer (Q)
|
98% |
196615
253.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37345
1.38 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49636
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21429
793.5 IPS |
|
|
Text Classification (SP)
|
100% |
2701
3.61 KIPS |
|
|
Text Classification (HP)
|
99% |
3330
4.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1409
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3639
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3624
62.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1251
27.9 IPS |
