3090 Ti x8 - AfterB 0MHz 0MHz mem 0%v+ Generic
Geekbench AI Score
17799
Single Precision Score
23020
Half Precision Score
11786
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | krofa |
| Upload Date | February 04 2025 04:32 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 | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7032
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
8688
1.62 KIPS |
|
|
Image Classification (Q)
|
100% |
4437
825.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7288
118.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8237
133.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6067
98.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
171008
199.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
281771
328.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
127335
149.2 IPS |
|
|
Object Detection (SP)
|
100% |
8938
709.0 IPS |
|
|
Object Detection (HP)
|
100% |
10712
849.6 IPS |
|
|
Object Detection (Q)
|
85% |
6591
530.2 IPS |
|
|
Face Detection (SP)
|
100% |
18281
217.2 IPS |
|
|
Face Detection (HP)
|
100% |
21664
257.4 IPS |
|
|
Face Detection (Q)
|
97% |
14169
169.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
56987
439.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
85066
657.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
35592
284.8 IPS |
|
|
Style Transfer (SP)
|
100% |
257232
330.7 IPS |
|
|
Style Transfer (HP)
|
100% |
500698
643.7 IPS |
|
|
Style Transfer (Q)
|
98% |
185397
239.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33351
1.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
40316
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20247
749.7 IPS |
|
|
Text Classification (SP)
|
100% |
2449
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2765
3.69 KIPS |
|
|
Text Classification (Q)
|
97% |
1220
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1862
32.1 IPS |
|
|
Machine Translation (HP)
|
96% |
1881
32.5 IPS |
|
|
Machine Translation (Q)
|
70% |
992
18.6 IPS |
