3090 Reg x8 - noPwrLimit - AfterB +150MHz noV+ Generic
Geekbench AI Score
17384
Single Precision Score
22683
Half Precision Score
11832
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | krofa |
| Upload Date | January 28 2025 04:23 PM |
| Views | 11 |
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% |
6678
1.24 KIPS |
|
|
Image Classification (HP)
|
100% |
8493
1.58 KIPS |
|
|
Image Classification (Q)
|
100% |
4974
924.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7321
118.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8200
132.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6203
100.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
162230
189.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
277205
323.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
125128
146.6 IPS |
|
|
Object Detection (SP)
|
100% |
8590
681.4 IPS |
|
|
Object Detection (HP)
|
100% |
10565
838.0 IPS |
|
|
Object Detection (Q)
|
85% |
6388
513.8 IPS |
|
|
Face Detection (SP)
|
100% |
18118
215.3 IPS |
|
|
Face Detection (HP)
|
100% |
21101
250.7 IPS |
|
|
Face Detection (Q)
|
97% |
14247
169.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
54282
418.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
84667
654.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
33895
271.2 IPS |
|
|
Style Transfer (SP)
|
100% |
253562
326.0 IPS |
|
|
Style Transfer (HP)
|
100% |
479205
616.0 IPS |
|
|
Style Transfer (Q)
|
98% |
185489
239.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32467
1.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41056
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19212
711.4 IPS |
|
|
Text Classification (SP)
|
100% |
2341
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
2680
3.58 KIPS |
|
|
Text Classification (Q)
|
97% |
1207
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1952
33.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1877
32.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1050
19.7 IPS |
