INTEL
Geekbench AI Score
4048
Single Precision Score
4452
Half Precision Score
4124
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | sburnolo |
| Upload Date | February 26 2026 11:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2680 v4 @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | INTEL |
| Motherboard | INTEL X99-P4 |
| Power Plan | Bilanciato |
| 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% |
1876
348.8 IPS |
|
|
Image Classification (HP)
|
100% |
3140
583.9 IPS |
|
|
Image Classification (Q)
|
100% |
2918
542.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2279
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3968
64.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3555
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5918
6.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
5919
6.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
8280
9.71 IPS |
|
|
Object Detection (SP)
|
100% |
2620
207.8 IPS |
|
|
Object Detection (HP)
|
100% |
2590
205.5 IPS |
|
|
Object Detection (Q)
|
87% |
3068
246.0 IPS |
|
|
Face Detection (SP)
|
100% |
5792
68.8 IPS |
|
|
Face Detection (HP)
|
100% |
5763
68.5 IPS |
|
|
Face Detection (Q)
|
97% |
9377
111.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6788
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6911
53.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
7738
61.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19950
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19742
25.4 IPS |
|
|
Style Transfer (Q)
|
98% |
24258
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4393
162.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4280
158.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4726
175.1 IPS |
|
|
Text Classification (SP)
|
100% |
1935
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
1942
2.59 KIPS |
|
|
Text Classification (Q)
|
91% |
255
342.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2674
46.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2452
42.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2546
43.9 IPS |
