GPU-1200W INTEL X99
Geekbench AI Score
20600
Single Precision Score
29792
Half Precision Score
16884
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | MiroYar |
| Upload Date | May 22 2025 07:03 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | INTEL X99 |
| Motherboard | INTEL X99 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 2 Processors, 28 Cores, 56 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 28 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7945
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
10259
1.91 KIPS |
|
|
Image Classification (Q)
|
100% |
7161
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11739
190.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13689
221.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10929
177.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
159183
185.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
482057
562.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
143437
168.0 IPS |
|
|
Object Detection (SP)
|
100% |
9770
774.9 IPS |
|
|
Object Detection (HP)
|
100% |
12465
988.7 IPS |
|
|
Object Detection (Q)
|
86% |
8607
691.5 IPS |
|
|
Face Detection (SP)
|
100% |
27001
320.8 IPS |
|
|
Face Detection (HP)
|
100% |
31290
371.8 IPS |
|
|
Face Detection (Q)
|
97% |
23956
285.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
67114
517.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98725
760.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
52283
417.5 IPS |
|
|
Style Transfer (SP)
|
100% |
274180
352.5 IPS |
|
|
Style Transfer (HP)
|
100% |
679417
873.4 IPS |
|
|
Style Transfer (Q)
|
98% |
230590
297.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32212
1.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46413
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25787
954.9 IPS |
|
|
Text Classification (SP)
|
100% |
1985
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1476
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2987
51.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2963
51.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1773
33.3 IPS |
