3090 Reg x8 - noPwrLimit - AfterB +110MHz noV+ Generic
Geekbench AI Score
17445
Single Precision Score
22935
Half Precision Score
11818
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | krofa |
| Upload Date | January 24 2025 06:45 PM |
| Views | 19 |
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% |
6867
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
8707
1.62 KIPS |
|
|
Image Classification (Q)
|
100% |
5000
929.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7220
117.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8246
133.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6168
100.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
163342
190.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
275600
321.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
123329
144.5 IPS |
|
|
Object Detection (SP)
|
100% |
8523
676.1 IPS |
|
|
Object Detection (HP)
|
100% |
10720
850.3 IPS |
|
|
Object Detection (Q)
|
85% |
6469
520.3 IPS |
|
|
Face Detection (SP)
|
100% |
18169
215.9 IPS |
|
|
Face Detection (HP)
|
100% |
21200
251.9 IPS |
|
|
Face Detection (Q)
|
97% |
14200
169.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
54157
417.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
84604
653.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
33733
269.9 IPS |
|
|
Style Transfer (SP)
|
100% |
251807
323.7 IPS |
|
|
Style Transfer (HP)
|
100% |
476870
613.0 IPS |
|
|
Style Transfer (Q)
|
98% |
184586
238.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32827
1.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42189
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19224
711.8 IPS |
|
|
Text Classification (SP)
|
100% |
2397
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
2732
3.65 KIPS |
|
|
Text Classification (Q)
|
97% |
1210
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1940
33.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1926
33.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1051
19.7 IPS |
