Default string Default string
Geekbench AI Score
3839
Single Precision Score
3803
Half Precision Score
3943
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | prietol2 |
| Upload Date | September 16 2024 12:20 PM |
| Views | 3 |
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 for Workstations (64-bit) |
| Model | Default string Default string |
| Motherboard | MACHINIST E5-RS9 |
| Power Plan | Equilibrado |
| 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% |
2903
539.9 IPS |
|
|
Image Classification (HP)
|
100% |
2912
541.5 IPS |
|
|
Image Classification (Q)
|
100% |
2676
497.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2797
45.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2774
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3078
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7024
8.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
7010
8.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
8412
9.87 IPS |
|
|
Object Detection (SP)
|
100% |
2580
204.7 IPS |
|
|
Object Detection (HP)
|
100% |
2564
203.4 IPS |
|
|
Object Detection (Q)
|
87% |
2830
227.0 IPS |
|
|
Face Detection (SP)
|
100% |
5785
68.7 IPS |
|
|
Face Detection (HP)
|
100% |
5904
70.2 IPS |
|
|
Face Detection (Q)
|
97% |
9022
107.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7353
56.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7504
57.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
8602
67.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21726
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21841
28.1 IPS |
|
|
Style Transfer (Q)
|
98% |
24429
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4167
153.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4167
153.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4598
170.3 IPS |
|
|
Text Classification (SP)
|
100% |
569
759.1 IPS |
|
|
Text Classification (HP)
|
100% |
565
753.7 IPS |
|
|
Text Classification (Q)
|
91% |
269
361.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2159
37.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1917
33.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1978
34.1 IPS |
