Supermicro Super Server
Geekbench AI Score
2443
Single Precision Score
2445
Half Precision Score
3629
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 02 2025 06:58 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E3-1270 v5 @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X11SSL-F |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1270 v5 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1507
280.3 IPS |
|
|
Image Classification (HP)
|
100% |
1512
281.1 IPS |
|
|
Image Classification (Q)
|
100% |
2229
414.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1495
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1499
24.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2485
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3009
3.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
3007
3.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
5521
6.48 IPS |
|
|
Object Detection (SP)
|
100% |
1414
112.2 IPS |
|
|
Object Detection (HP)
|
100% |
1429
113.3 IPS |
|
|
Object Detection (Q)
|
87% |
2281
182.9 IPS |
|
|
Face Detection (SP)
|
100% |
2928
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
2937
34.9 IPS |
|
|
Face Detection (Q)
|
97% |
5782
68.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3878
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3904
30.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
6197
48.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8720
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8658
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
15746
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1784
65.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1783
65.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3252
120.5 IPS |
|
|
Text Classification (SP)
|
100% |
1871
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
1869
2.50 KIPS |
|
|
Text Classification (Q)
|
91% |
1294
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2397
41.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2374
40.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2397
41.3 IPS |
