Supermicro X10SL7-F
Geekbench AI Score
1996
Single Precision Score
2029
Half Precision Score
2304
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 29 2024 12:17 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E3-1240 v3 @ 3.40GHz |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Supermicro X10SL7-F |
| Motherboard | Supermicro X10SL7-F |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1240 v3 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1231
229.0 IPS |
|
|
Image Classification (HP)
|
100% |
1259
234.2 IPS |
|
|
Image Classification (Q)
|
100% |
1437
267.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1074
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1106
17.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1497
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2701
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
2698
3.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
3076
3.61 IPS |
|
|
Object Detection (SP)
|
100% |
1210
96.0 IPS |
|
|
Object Detection (HP)
|
100% |
1243
98.6 IPS |
|
|
Object Detection (Q)
|
87% |
1413
113.3 IPS |
|
|
Face Detection (SP)
|
100% |
2372
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
2376
28.2 IPS |
|
|
Face Detection (Q)
|
97% |
3933
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3356
25.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3383
26.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
3748
29.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7768
9.99 IPS |
|
|
Style Transfer (HP)
|
100% |
7806
10.0 IPS |
|
|
Style Transfer (Q)
|
98% |
8869
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1540
56.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1565
57.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1867
69.2 IPS |
|
|
Text Classification (SP)
|
100% |
1346
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
1370
1.83 KIPS |
|
|
Text Classification (Q)
|
91% |
983
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1821
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1891
32.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1882
32.4 IPS |
