3090 Reg x8 - noPwrLimit - AfterB +200MHz 30% v+ Generic
Geekbench AI Score
17582
Single Precision Score
23010
Half Precision Score
11957
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | krofa |
| Upload Date | January 28 2025 04:48 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X79 Professional |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-1680 v2 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6936
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
8558
1.59 KIPS |
|
|
Image Classification (Q)
|
100% |
5131
954.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7299
118.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8196
132.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6189
100.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
163143
190.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
278583
325.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
125078
146.5 IPS |
|
|
Object Detection (SP)
|
100% |
8713
691.1 IPS |
|
|
Object Detection (HP)
|
100% |
10837
859.6 IPS |
|
|
Object Detection (Q)
|
85% |
6472
520.6 IPS |
|
|
Face Detection (SP)
|
100% |
18090
214.9 IPS |
|
|
Face Detection (HP)
|
100% |
21330
253.5 IPS |
|
|
Face Detection (Q)
|
97% |
14251
170.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
54537
420.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
86263
666.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
34087
272.7 IPS |
|
|
Style Transfer (SP)
|
100% |
257734
331.3 IPS |
|
|
Style Transfer (HP)
|
100% |
489777
629.6 IPS |
|
|
Style Transfer (Q)
|
98% |
186779
240.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33187
1.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41744
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19858
735.3 IPS |
|
|
Text Classification (SP)
|
100% |
2427
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2767
3.69 KIPS |
|
|
Text Classification (Q)
|
97% |
1226
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1916
33.0 IPS |
|
|
Machine Translation (HP)
|
96% |
1888
32.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1052
19.7 IPS |
