3090 Ti x16 Gen3 Generic
Geekbench AI Score
18690
Single Precision Score
25366
Half Precision Score
12502
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | krofa |
| Upload Date | January 26 2025 12:58 AM |
| 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% |
7497
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
9675
1.80 KIPS |
|
|
Image Classification (Q)
|
100% |
5390
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8145
132.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9649
156.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6953
113.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
172303
201.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
295961
345.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
128804
150.9 IPS |
|
|
Object Detection (SP)
|
100% |
9612
762.4 IPS |
|
|
Object Detection (HP)
|
100% |
12519
993.0 IPS |
|
|
Object Detection (Q)
|
85% |
7031
565.6 IPS |
|
|
Face Detection (SP)
|
100% |
19962
237.2 IPS |
|
|
Face Detection (HP)
|
100% |
24546
291.7 IPS |
|
|
Face Detection (Q)
|
97% |
15464
184.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
56080
432.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
92597
715.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
34775
278.2 IPS |
|
|
Style Transfer (SP)
|
100% |
263996
339.4 IPS |
|
|
Style Transfer (HP)
|
100% |
540944
695.4 IPS |
|
|
Style Transfer (Q)
|
98% |
188987
243.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33426
1.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44015
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20213
748.5 IPS |
|
|
Text Classification (SP)
|
100% |
2396
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
2723
3.63 KIPS |
|
|
Text Classification (Q)
|
97% |
1194
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2174
37.5 IPS |
|
|
Machine Translation (HP)
|
96% |
2164
37.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1121
21.0 IPS |
