Intel X99
Geekbench AI Score
3027
Single Precision Score
1003
Half Precision Score
2992
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | 271belair |
| Upload Date | April 11 2025 08:27 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2680 v4 |
| 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% |
2712
504.4 IPS |
|
|
Image Classification (HP)
|
100% |
311
57.8 IPS |
|
|
Image Classification (Q)
|
96% |
2882
538.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1132
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
459
7.43 IPS |
|
|
Image Segmentation (Q)
|
97% |
1548
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6629
7.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
4903
5.72 IPS |
|
|
Pose Estimation (Q)
|
86% |
7348
8.69 IPS |
|
|
Object Detection (SP)
|
100% |
2541
201.6 IPS |
|
|
Object Detection (HP)
|
100% |
407
32.3 IPS |
|
|
Object Detection (Q)
|
58% |
2153
235.2 IPS |
|
|
Face Detection (SP)
|
100% |
4689
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
972
11.5 IPS |
|
|
Face Detection (Q)
|
96% |
5227
62.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6937
53.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1250
9.63 IPS |
|
|
Depth Estimation (Q)
|
78% |
6450
51.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14022
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11546
14.8 IPS |
|
|
Style Transfer (Q)
|
87% |
10088
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2085
77.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1604
59.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1749
64.8 IPS |
|
|
Text Classification (SP)
|
100% |
918
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
414
552.5 IPS |
|
|
Text Classification (Q)
|
97% |
758
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1431
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
389
6.70 IPS |
|
|
Machine Translation (Q)
|
68% |
1808
34.9 IPS |
