Supermicro X10SLH-F/X10SLM+-F
Geekbench AI Score
1987
Single Precision Score
2000
Half Precision Score
2060
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 08 2025 03:43 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E3-1230 v3 @ 3.30GHz |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Supermicro X10SLH-F/X10SLM+-F |
| Motherboard | Supermicro X10SLH-F/X10SLM+-F |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1230 v3 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1190
221.3 IPS |
|
|
Image Classification (HP)
|
100% |
1244
231.4 IPS |
|
|
Image Classification (Q)
|
100% |
669
124.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1186
19.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1524
24.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2623
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2609
3.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
2984
3.50 IPS |
|
|
Object Detection (SP)
|
100% |
1156
91.7 IPS |
|
|
Object Detection (HP)
|
100% |
1173
93.1 IPS |
|
|
Object Detection (Q)
|
87% |
1344
107.8 IPS |
|
|
Face Detection (SP)
|
100% |
2292
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
2293
27.2 IPS |
|
|
Face Detection (Q)
|
97% |
3779
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3271
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3287
25.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
3632
28.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7529
9.68 IPS |
|
|
Style Transfer (HP)
|
100% |
7530
9.68 IPS |
|
|
Style Transfer (Q)
|
98% |
8583
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1517
56.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1509
55.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1807
66.9 IPS |
|
|
Text Classification (SP)
|
100% |
1531
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
1544
2.06 KIPS |
|
|
Text Classification (Q)
|
91% |
933
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1728
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1718
29.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1696
29.2 IPS |
