INTEL
Geekbench AI Score
3278
Single Precision Score
1108
Half Precision Score
3487
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 12 2025 03:51 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2690 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | INTEL |
| Motherboard | INTEL X99-D4-V5 BSF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2690 v4 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3009
559.7 IPS |
|
|
Image Classification (HP)
|
100% |
337
62.7 IPS |
|
|
Image Classification (Q)
|
96% |
3003
560.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1405
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
541
8.78 IPS |
|
|
Image Segmentation (Q)
|
97% |
3885
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6956
8.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
5435
6.34 IPS |
|
|
Pose Estimation (Q)
|
86% |
7761
9.18 IPS |
|
|
Object Detection (SP)
|
100% |
2678
212.5 IPS |
|
|
Object Detection (HP)
|
100% |
444
35.2 IPS |
|
|
Object Detection (Q)
|
58% |
2239
244.7 IPS |
|
|
Face Detection (SP)
|
100% |
4916
58.4 IPS |
|
|
Face Detection (HP)
|
100% |
994
11.8 IPS |
|
|
Face Detection (Q)
|
96% |
5461
65.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7631
58.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1387
10.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
6855
54.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14758
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12216
15.7 IPS |
|
|
Style Transfer (Q)
|
87% |
10303
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2204
81.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1725
63.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2608
96.6 IPS |
|
|
Text Classification (SP)
|
100% |
1023
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
462
617.2 IPS |
|
|
Text Classification (Q)
|
97% |
753
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1460
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
473
8.14 IPS |
|
|
Machine Translation (Q)
|
68% |
1732
33.5 IPS |
