3090 Ti x8 - Optimizations Kit 1 Generic
Geekbench AI Score
17635
Single Precision Score
23168
Half Precision Score
12076
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | krofa |
| Upload Date | February 05 2025 11:04 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X79 Professional |
| Power Plan | High performance |
| 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 | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6910
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
8690
1.62 KIPS |
|
|
Image Classification (Q)
|
100% |
5059
940.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7310
118.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8145
132.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6266
101.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
168805
197.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
283604
330.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
127477
149.4 IPS |
|
|
Object Detection (SP)
|
100% |
8703
690.3 IPS |
|
|
Object Detection (HP)
|
100% |
10825
858.6 IPS |
|
|
Object Detection (Q)
|
85% |
6583
529.6 IPS |
|
|
Face Detection (SP)
|
100% |
18189
216.1 IPS |
|
|
Face Detection (HP)
|
100% |
21634
257.1 IPS |
|
|
Face Detection (Q)
|
97% |
14353
171.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
57268
441.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
86185
665.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
35949
287.6 IPS |
|
|
Style Transfer (SP)
|
100% |
253631
326.0 IPS |
|
|
Style Transfer (HP)
|
100% |
505191
649.4 IPS |
|
|
Style Transfer (Q)
|
98% |
184810
238.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33699
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
40803
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19985
740.0 IPS |
|
|
Text Classification (SP)
|
100% |
2263
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
2744
3.66 KIPS |
|
|
Text Classification (Q)
|
97% |
1223
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1946
33.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1945
33.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1064
20.0 IPS |
