INTEL X99
Geekbench AI Score
2355
Single Precision Score
730
Half Precision Score
2376
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Dulaso1 |
| Upload Date | August 21 2025 09:10 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2680 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | INTEL X99 |
| Motherboard | INTEL X99 |
| Power Plan | High performance |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1860
345.9 IPS |
|
|
Image Classification (HP)
|
100% |
262
48.7 IPS |
|
|
Image Classification (Q)
|
96% |
2298
429.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
747
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
397
6.43 IPS |
|
|
Image Segmentation (Q)
|
97% |
3073
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6987
8.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
3259
3.80 IPS |
|
|
Pose Estimation (Q)
|
86% |
7617
9.00 IPS |
|
|
Object Detection (SP)
|
100% |
1936
153.6 IPS |
|
|
Object Detection (HP)
|
100% |
298
23.6 IPS |
|
|
Object Detection (Q)
|
58% |
1746
190.8 IPS |
|
|
Face Detection (SP)
|
100% |
4503
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
684
8.13 IPS |
|
|
Face Detection (Q)
|
96% |
4470
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6794
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1052
8.10 IPS |
|
|
Depth Estimation (Q)
|
78% |
6126
48.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14469
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7403
9.52 IPS |
|
|
Style Transfer (Q)
|
87% |
6864
8.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1512
55.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1001
37.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1801
66.7 IPS |
|
|
Text Classification (SP)
|
100% |
556
741.7 IPS |
|
|
Text Classification (HP)
|
100% |
271
361.4 IPS |
|
|
Text Classification (Q)
|
97% |
184
246.9 IPS |
|
|
Machine Translation (SP)
|
100% |
752
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
297
5.12 IPS |
|
|
Machine Translation (Q)
|
68% |
984
19.0 IPS |
