CSL-Computer GmbH & Co. KG A0000001
Geekbench AI Score
20217
Single Precision Score
29892
Half Precision Score
12551
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 03:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | CSL-Computer GmbH & Co. KG A0000001 |
| Motherboard | ASUSTeK COMPUTER INC. TUF B450-PLUS GAMING |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8371
1.56 KIPS |
|
|
Image Classification (HP)
|
99% |
11062
2.06 KIPS |
|
|
Image Classification (Q)
|
100% |
5562
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11501
186.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14653
237.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8510
138.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
129210
150.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
351949
410.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
103196
120.8 IPS |
|
|
Object Detection (SP)
|
100% |
9744
772.9 IPS |
|
|
Object Detection (HP)
|
100% |
13385
1.06 KIPS |
|
|
Object Detection (Q)
|
89% |
6563
525.4 IPS |
|
|
Face Detection (SP)
|
100% |
23983
285.0 IPS |
|
|
Face Detection (HP)
|
100% |
31914
379.2 IPS |
|
|
Face Detection (Q)
|
97% |
16614
198.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
53365
411.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
92276
710.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
32092
258.7 IPS |
|
|
Style Transfer (SP)
|
100% |
237946
305.9 IPS |
|
|
Style Transfer (HP)
|
100% |
536083
689.1 IPS |
|
|
Style Transfer (Q)
|
98% |
171557
221.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34672
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42443
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19574
724.8 IPS |
|
|
Text Classification (SP)
|
100% |
2768
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
3524
4.70 KIPS |
|
|
Text Classification (Q)
|
97% |
1436
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3221
55.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3159
54.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1177
26.3 IPS |
