GPU-1200W INTEL X99
Geekbench AI Score
17511
Single Precision Score
24002
Half Precision Score
14529
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | MiroYar |
| Upload Date | May 22 2025 06:57 PM |
| Views | 10 |
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% |
6919
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
8637
1.61 KIPS |
|
|
Image Classification (Q)
|
100% |
6472
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7934
128.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8730
141.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7121
115.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
150487
175.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
383137
447.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
130468
152.8 IPS |
|
|
Object Detection (SP)
|
100% |
7336
581.9 IPS |
|
|
Object Detection (HP)
|
100% |
8526
676.3 IPS |
|
|
Object Detection (Q)
|
86% |
6427
516.4 IPS |
|
|
Face Detection (SP)
|
100% |
20265
240.8 IPS |
|
|
Face Detection (HP)
|
100% |
23257
276.3 IPS |
|
|
Face Detection (Q)
|
97% |
18655
222.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
65053
501.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
94260
726.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
50808
405.7 IPS |
|
|
Style Transfer (SP)
|
100% |
259491
333.6 IPS |
|
|
Style Transfer (HP)
|
100% |
605147
777.9 IPS |
|
|
Style Transfer (Q)
|
98% |
222017
286.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32243
1.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46219
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24453
905.5 IPS |
|
|
Text Classification (SP)
|
100% |
1978
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2048
2.73 KIPS |
|
|
Text Classification (Q)
|
97% |
1483
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2051
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2052
35.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1422
26.7 IPS |
