INTEL
Geekbench AI Score
4798
Single Precision Score
4817
Half Precision Score
4432
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 12 2025 04:06 PM |
| Views | 4 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3312
616.0 IPS |
|
|
Image Classification (HP)
|
100% |
3326
618.5 IPS |
|
|
Image Classification (Q)
|
100% |
3094
575.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4199
68.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4165
67.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4298
69.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6789
7.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
6830
7.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
8628
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
2631
208.7 IPS |
|
|
Object Detection (HP)
|
100% |
2702
214.4 IPS |
|
|
Object Detection (Q)
|
87% |
3098
248.5 IPS |
|
|
Face Detection (SP)
|
100% |
6035
71.7 IPS |
|
|
Face Detection (HP)
|
100% |
6117
72.7 IPS |
|
|
Face Detection (Q)
|
97% |
10145
121.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7486
57.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7510
57.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
9348
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21728
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21613
27.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25368
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4360
161.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4547
167.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4891
181.2 IPS |
|
|
Text Classification (SP)
|
100% |
2128
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2108
2.81 KIPS |
|
|
Text Classification (Q)
|
91% |
281
378.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2863
49.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2769
47.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2493
42.9 IPS |
