3090 Ti - noPwrLimit Generic
Geekbench AI Score
17485
Single Precision Score
23125
Half Precision Score
12004
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | krofa |
| Upload Date | January 22 2025 08:57 AM |
| Views | 8 |
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 | 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% |
6754
1.26 KIPS |
|
|
Image Classification (HP)
|
100% |
8664
1.61 KIPS |
|
|
Image Classification (Q)
|
100% |
5121
952.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7311
118.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8240
133.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6233
101.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
170341
198.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
283797
331.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
126822
148.6 IPS |
|
|
Object Detection (SP)
|
100% |
8713
691.1 IPS |
|
|
Object Detection (HP)
|
100% |
10690
847.9 IPS |
|
|
Object Detection (Q)
|
85% |
6504
523.2 IPS |
|
|
Face Detection (SP)
|
100% |
17974
213.6 IPS |
|
|
Face Detection (HP)
|
100% |
21332
253.5 IPS |
|
|
Face Detection (Q)
|
97% |
14195
169.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
53737
414.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
85774
662.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
34405
275.3 IPS |
|
|
Style Transfer (SP)
|
100% |
254476
327.1 IPS |
|
|
Style Transfer (HP)
|
100% |
506049
650.5 IPS |
|
|
Style Transfer (Q)
|
98% |
183927
237.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32458
1.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42178
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19819
733.9 IPS |
|
|
Text Classification (SP)
|
100% |
2353
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
2708
3.61 KIPS |
|
|
Text Classification (Q)
|
97% |
1265
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1942
33.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1910
33.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1048
19.7 IPS |
