3090 Reg x8 - noPwrLimit - AfterB +200MHz 30% v+ Generic
Geekbench AI Score
17658
Single Precision Score
22851
Half Precision Score
11945
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | krofa |
| Upload Date | January 28 2025 04:26 PM |
| Views | 15 |
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% |
6907
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
8471
1.58 KIPS |
|
|
Image Classification (Q)
|
100% |
5093
947.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7251
117.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8166
132.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6218
101.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
164200
191.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
278836
325.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
125786
147.4 IPS |
|
|
Object Detection (SP)
|
100% |
8812
699.0 IPS |
|
|
Object Detection (HP)
|
100% |
10806
857.1 IPS |
|
|
Object Detection (Q)
|
85% |
6457
519.4 IPS |
|
|
Face Detection (SP)
|
100% |
18203
216.3 IPS |
|
|
Face Detection (HP)
|
100% |
21152
251.3 IPS |
|
|
Face Detection (Q)
|
97% |
14232
169.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
54620
420.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
86011
664.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
34284
274.3 IPS |
|
|
Style Transfer (SP)
|
100% |
258321
332.1 IPS |
|
|
Style Transfer (HP)
|
100% |
481102
618.5 IPS |
|
|
Style Transfer (Q)
|
98% |
186932
241.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33641
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
40883
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19888
736.4 IPS |
|
|
Text Classification (SP)
|
100% |
2444
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2771
3.70 KIPS |
|
|
Text Classification (Q)
|
97% |
1209
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1926
33.2 IPS |
|
|
Machine Translation (HP)
|
96% |
1879
32.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1049
19.7 IPS |
