INTEL
Geekbench AI Score
4366
Single Precision Score
4364
Half Precision Score
4051
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 07 2025 05:48 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2690 v4 @ 2.60GHz |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2853
530.5 IPS |
|
|
Image Classification (HP)
|
100% |
2903
539.9 IPS |
|
|
Image Classification (Q)
|
100% |
2689
500.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3846
62.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3902
63.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4153
67.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6627
7.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
6656
7.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
8636
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
2438
193.4 IPS |
|
|
Object Detection (HP)
|
100% |
2569
203.8 IPS |
|
|
Object Detection (Q)
|
87% |
2920
234.2 IPS |
|
|
Face Detection (SP)
|
100% |
6026
71.6 IPS |
|
|
Face Detection (HP)
|
100% |
6198
73.6 IPS |
|
|
Face Detection (Q)
|
97% |
9491
113.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7161
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7096
54.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
8535
67.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20715
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
20777
26.7 IPS |
|
|
Style Transfer (Q)
|
98% |
24752
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4001
147.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3993
147.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4475
165.8 IPS |
|
|
Text Classification (SP)
|
100% |
1649
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
1672
2.23 KIPS |
|
|
Text Classification (Q)
|
91% |
249
334.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2410
41.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2122
36.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1893
32.6 IPS |
