INTEL
Geekbench AI Score
2716
Single Precision Score
2818
Half Precision Score
3486
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 02 2026 12:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2666 v3 @ 2.90GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro Education (64-bit) |
| Model | INTEL |
| Motherboard | INTEL X99-XD3 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2666 v3 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1604
298.2 IPS |
|
|
Image Classification (HP)
|
100% |
1581
294.1 IPS |
|
|
Image Classification (Q)
|
100% |
2489
462.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2266
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2186
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2855
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3234
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3282
3.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
5866
6.88 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
100% |
1534
121.7 IPS |
|
|
Object Detection (Q)
|
87% |
2573
206.4 IPS |
|
|
Face Detection (SP)
|
100% |
3182
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
3174
37.7 IPS |
|
|
Face Detection (Q)
|
97% |
6898
82.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3893
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3971
30.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
6647
52.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10667
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11128
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
17139
22.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2236
82.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3297
121.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3580
132.6 IPS |
|
|
Text Classification (SP)
|
100% |
1774
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1713
2.29 KIPS |
|
|
Text Classification (Q)
|
91% |
393
527.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2276
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2293
39.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2235
38.5 IPS |
