Supermicro X10SLL+-F
Geekbench AI Score
1894
Single Precision Score
1907
Half Precision Score
2111
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 04 2024 07:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E3-1220 v3 @ 3.10GHz |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Supermicro X10SLL+-F |
| Motherboard | Supermicro X10SLL+-F |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1220 v3 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1183
219.9 IPS |
|
|
Image Classification (HP)
|
100% |
1191
221.5 IPS |
|
|
Image Classification (Q)
|
100% |
1310
243.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1149
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1142
18.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1471
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2397
2.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
2392
2.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
2784
3.26 IPS |
|
|
Object Detection (SP)
|
100% |
1145
90.8 IPS |
|
|
Object Detection (HP)
|
100% |
1146
90.9 IPS |
|
|
Object Detection (Q)
|
87% |
1281
102.7 IPS |
|
|
Face Detection (SP)
|
100% |
2243
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
2242
26.6 IPS |
|
|
Face Detection (Q)
|
97% |
3580
42.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3122
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3103
23.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
3405
26.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6547
8.42 IPS |
|
|
Style Transfer (HP)
|
100% |
6828
8.78 IPS |
|
|
Style Transfer (Q)
|
98% |
8029
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1442
53.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1466
54.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1699
62.9 IPS |
|
|
Text Classification (SP)
|
100% |
1461
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1463
1.95 KIPS |
|
|
Text Classification (Q)
|
91% |
881
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1657
28.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1678
28.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1750
30.1 IPS |
