3090 Ti x8 - AfterB -500MHz -500MHz mem 0%v+ Generic
Geekbench AI Score
15614
Single Precision Score
21454
Half Precision Score
10631
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | krofa |
| Upload Date | February 04 2025 04:27 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% |
5992
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
8199
1.52 KIPS |
|
|
Image Classification (Q)
|
100% |
4585
852.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7033
114.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8071
130.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5913
96.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
139284
162.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
252970
295.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
105051
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
7501
595.0 IPS |
|
|
Object Detection (HP)
|
100% |
10338
820.0 IPS |
|
|
Object Detection (Q)
|
85% |
6030
485.0 IPS |
|
|
Face Detection (SP)
|
100% |
17090
203.1 IPS |
|
|
Face Detection (HP)
|
100% |
20758
246.7 IPS |
|
|
Face Detection (Q)
|
97% |
13537
161.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
48720
375.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
75678
584.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
30703
245.7 IPS |
|
|
Style Transfer (SP)
|
100% |
205668
264.4 IPS |
|
|
Style Transfer (HP)
|
100% |
442695
569.1 IPS |
|
|
Style Transfer (Q)
|
98% |
153738
198.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29323
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38510
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18325
678.5 IPS |
|
|
Text Classification (SP)
|
100% |
2170
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2478
3.31 KIPS |
|
|
Text Classification (Q)
|
97% |
970
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1796
30.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1799
31.1 IPS |
|
|
Machine Translation (Q)
|
70% |
946
17.8 IPS |
