3090 Reg x8 - noPwrLimit Generic
Geekbench AI Score
17122
Single Precision Score
22697
Half Precision Score
11617
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | krofa |
| Upload Date | January 22 2025 09:11 AM |
| Views | 7 |
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% |
6908
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
8532
1.59 KIPS |
|
|
Image Classification (Q)
|
100% |
4924
915.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7251
117.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8133
131.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6159
100.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
157718
184.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
274797
320.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
120217
140.9 IPS |
|
|
Object Detection (SP)
|
100% |
8497
674.0 IPS |
|
|
Object Detection (HP)
|
100% |
10820
858.3 IPS |
|
|
Object Detection (Q)
|
85% |
6340
510.0 IPS |
|
|
Face Detection (SP)
|
100% |
17981
213.7 IPS |
|
|
Face Detection (HP)
|
100% |
21257
252.6 IPS |
|
|
Face Detection (Q)
|
97% |
14116
168.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
52266
402.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
83608
646.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
33204
265.7 IPS |
|
|
Style Transfer (SP)
|
100% |
244578
314.4 IPS |
|
|
Style Transfer (HP)
|
100% |
482744
620.6 IPS |
|
|
Style Transfer (Q)
|
98% |
178379
230.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31169
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
40528
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18934
701.1 IPS |
|
|
Text Classification (SP)
|
100% |
2362
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
2689
3.59 KIPS |
|
|
Text Classification (Q)
|
97% |
1196
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1907
32.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1881
32.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1023
19.2 IPS |
