Default string Default string
Geekbench AI Score
3471
Single Precision Score
3477
Half Precision Score
3725
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | superlid |
| Upload Date | March 15 2025 08:05 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2680 v3 @ 2.50GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | HUANANZHI X99 F8D |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v3 |
| Topology | 2 Processors, 24 Cores, 48 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2018
375.3 IPS |
|
|
Image Classification (HP)
|
100% |
2137
397.4 IPS |
|
|
Image Classification (Q)
|
100% |
2590
481.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2603
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2371
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2874
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4916
5.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
5080
5.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
6917
8.11 IPS |
|
|
Object Detection (SP)
|
100% |
2109
167.3 IPS |
|
|
Object Detection (HP)
|
100% |
2037
161.6 IPS |
|
|
Object Detection (Q)
|
87% |
2655
212.9 IPS |
|
|
Face Detection (SP)
|
100% |
4169
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
4290
51.0 IPS |
|
|
Face Detection (Q)
|
97% |
7481
89.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5768
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5708
44.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
7432
58.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14039
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16105
20.7 IPS |
|
|
Style Transfer (Q)
|
98% |
21010
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3182
117.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2880
106.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3957
146.6 IPS |
|
|
Text Classification (SP)
|
100% |
1878
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1934
2.58 KIPS |
|
|
Text Classification (Q)
|
91% |
351
471.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2312
39.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2247
38.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2325
40.0 IPS |
