Intel X99
Geekbench AI Score
4694
Single Precision Score
5225
Half Precision Score
3496
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | 271belair |
| Upload Date | April 11 2025 08:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A310 LP Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Intel X99 |
| Motherboard | Intel X99 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2469
459.1 IPS |
|
|
Image Classification (HP)
|
100% |
2820
524.5 IPS |
|
|
Image Classification (Q)
|
99% |
2183
407.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2192
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4130
67.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1816
29.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
19949
23.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
18009
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15572
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2881
228.5 IPS |
|
|
Object Detection (HP)
|
99% |
3234
257.3 IPS |
|
|
Object Detection (Q)
|
85% |
2478
199.4 IPS |
|
|
Face Detection (SP)
|
100% |
5171
61.4 IPS |
|
|
Face Detection (HP)
|
100% |
4811
57.2 IPS |
|
|
Face Detection (Q)
|
97% |
3923
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11436
88.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12547
97.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
8774
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
40829
52.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40461
52.0 IPS |
|
|
Style Transfer (Q)
|
98% |
28313
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6126
226.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8723
322.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4162
154.1 IPS |
|
|
Text Classification (SP)
|
86% |
675
913.1 IPS |
|
|
Text Classification (HP)
|
100% |
672
897.5 IPS |
|
|
Text Classification (Q)
|
84% |
510
692.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1674
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1564
26.9 IPS |
|
|
Machine Translation (Q)
|
70% |
864
16.2 IPS |
