3090 Ti x8 - noMods Generic
Geekbench AI Score
17484
Single Precision Score
23018
Half Precision Score
11970
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | krofa |
| Upload Date | January 28 2025 07:08 PM |
| Views | 10 |
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% |
6747
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
8564
1.59 KIPS |
|
|
Image Classification (Q)
|
100% |
5001
930.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7233
117.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8233
133.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6242
101.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
170284
198.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
281507
328.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
128365
150.4 IPS |
|
|
Object Detection (SP)
|
100% |
8760
694.9 IPS |
|
|
Object Detection (HP)
|
100% |
10747
852.5 IPS |
|
|
Object Detection (Q)
|
85% |
6535
525.7 IPS |
|
|
Face Detection (SP)
|
100% |
18045
214.4 IPS |
|
|
Face Detection (HP)
|
100% |
21438
254.7 IPS |
|
|
Face Detection (Q)
|
97% |
14296
170.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
53913
415.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
85110
657.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
34368
275.0 IPS |
|
|
Style Transfer (SP)
|
100% |
254521
327.2 IPS |
|
|
Style Transfer (HP)
|
100% |
503755
647.6 IPS |
|
|
Style Transfer (Q)
|
98% |
186104
240.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33021
1.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42287
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19825
734.1 IPS |
|
|
Text Classification (SP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
2666
3.56 KIPS |
|
|
Text Classification (Q)
|
97% |
1217
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1923
33.1 IPS |
|
|
Machine Translation (HP)
|
96% |
1889
32.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1046
19.6 IPS |
