Intel X99
Geekbench AI Score
2373
Single Precision Score
878
Half Precision Score
2721
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | 271belair |
| Upload Date | March 07 2025 07:27 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2098
390.1 IPS |
|
|
Image Classification (HP)
|
100% |
275
51.2 IPS |
|
|
Image Classification (Q)
|
96% |
2556
477.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1118
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
484
7.85 IPS |
|
|
Image Segmentation (Q)
|
97% |
1442
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4152
4.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
3434
4.01 IPS |
|
|
Pose Estimation (Q)
|
86% |
6963
8.23 IPS |
|
|
Object Detection (SP)
|
100% |
1722
136.6 IPS |
|
|
Object Detection (HP)
|
100% |
370
29.3 IPS |
|
|
Object Detection (Q)
|
58% |
1985
216.8 IPS |
|
|
Face Detection (SP)
|
100% |
3734
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
839
9.97 IPS |
|
|
Face Detection (Q)
|
96% |
4615
55.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5134
39.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1136
8.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
5921
47.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9926
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8826
11.3 IPS |
|
|
Style Transfer (Q)
|
87% |
9097
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1721
63.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1410
52.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1606
59.5 IPS |
|
|
Text Classification (SP)
|
100% |
857
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
392
523.1 IPS |
|
|
Text Classification (Q)
|
97% |
743
995.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1207
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
347
5.97 IPS |
|
|
Machine Translation (Q)
|
68% |
1475
28.5 IPS |
