Ti x16 ECC on - DSP: 19.50 T/sec Generic
Geekbench AI Score
18237
Single Precision Score
24626
Half Precision Score
12097
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | krofa |
| Upload Date | March 07 2025 11:00 PM |
| Views | 15 |
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 |
| 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 | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7051
1.31 KIPS |
|
|
Image Classification (HP)
|
99% |
9078
1.69 KIPS |
|
|
Image Classification (Q)
|
100% |
4991
928.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
8324
134.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9475
153.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6942
112.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
167906
195.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
287859
335.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
124012
145.3 IPS |
|
|
Object Detection (SP)
|
100% |
9501
753.6 IPS |
|
|
Object Detection (HP)
|
100% |
12163
964.8 IPS |
|
|
Object Detection (Q)
|
85% |
6837
550.0 IPS |
|
|
Face Detection (SP)
|
100% |
20306
241.3 IPS |
|
|
Face Detection (HP)
|
100% |
24339
289.2 IPS |
|
|
Face Detection (Q)
|
97% |
15345
183.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
56997
439.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
85607
659.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
34679
277.5 IPS |
|
|
Style Transfer (SP)
|
100% |
252311
324.3 IPS |
|
|
Style Transfer (HP)
|
100% |
519757
668.2 IPS |
|
|
Style Transfer (Q)
|
98% |
180948
233.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31763
1.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43893
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19187
710.5 IPS |
|
|
Text Classification (SP)
|
100% |
2135
2.85 KIPS |
|
|
Text Classification (HP)
|
99% |
2598
3.47 KIPS |
|
|
Text Classification (Q)
|
97% |
1110
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2195
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2206
38.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1114
20.9 IPS |
