3090 Reg x8 - noPwrLimit - AfterB +200MHz 30% v+ Generic
Geekbench AI Score
17513
Single Precision Score
22986
Half Precision Score
11950
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | krofa |
| Upload Date | January 28 2025 05:02 PM |
| Views | 12 |
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% |
6919
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
8691
1.62 KIPS |
|
|
Image Classification (Q)
|
100% |
5067
942.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7249
117.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8130
131.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6171
100.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
165454
193.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
276911
323.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
125869
147.5 IPS |
|
|
Object Detection (SP)
|
100% |
8646
685.8 IPS |
|
|
Object Detection (HP)
|
100% |
10930
867.0 IPS |
|
|
Object Detection (Q)
|
85% |
6488
521.9 IPS |
|
|
Face Detection (SP)
|
100% |
18257
216.9 IPS |
|
|
Face Detection (HP)
|
100% |
21263
252.6 IPS |
|
|
Face Detection (Q)
|
97% |
14338
171.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
54557
420.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
86380
667.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
34394
275.2 IPS |
|
|
Style Transfer (SP)
|
100% |
257195
330.6 IPS |
|
|
Style Transfer (HP)
|
100% |
480641
617.9 IPS |
|
|
Style Transfer (Q)
|
98% |
185490
239.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32207
1.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41759
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19384
717.8 IPS |
|
|
Text Classification (SP)
|
100% |
2369
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
2742
3.66 KIPS |
|
|
Text Classification (Q)
|
97% |
1245
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1936
33.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1905
32.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1054
19.8 IPS |
