Generic
Geekbench AI Score
6204
Single Precision Score
6005
Half Precision Score
5028
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | abufrejoval |
| Upload Date | October 17 2025 09:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2696 v4 @ 2.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Generic |
| Motherboard | ASRock X99 Extreme4 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2696 v4 |
| Topology | 1 Processor, 22 Cores, 44 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 22 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3934
731.6 IPS |
|
|
Image Classification (HP)
|
100% |
3919
728.8 IPS |
|
|
Image Classification (Q)
|
100% |
3703
688.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5984
97.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6042
97.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6168
100.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8512
9.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
6581
7.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
11873
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
4094
324.7 IPS |
|
|
Object Detection (HP)
|
100% |
3999
317.2 IPS |
|
|
Object Detection (Q)
|
87% |
4252
341.0 IPS |
|
|
Face Detection (SP)
|
100% |
12065
143.4 IPS |
|
|
Face Detection (HP)
|
100% |
11917
141.6 IPS |
|
|
Face Detection (Q)
|
97% |
13181
157.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10278
79.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
10530
81.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
11657
91.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30209
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
30399
39.1 IPS |
|
|
Style Transfer (Q)
|
98% |
34527
44.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5915
218.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5915
218.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6250
231.5 IPS |
|
|
Text Classification (SP)
|
100% |
2087
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2108
2.81 KIPS |
|
|
Text Classification (Q)
|
91% |
134
179.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2229
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2059
35.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2018
34.8 IPS |
