Supermicro C7Z270-CG-M
Geekbench AI Score
2098
Single Precision Score
1071
Half Precision Score
3066
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 08 2025 07:04 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Supermicro C7Z270-CG-M |
| Motherboard | Supermicro C7Z270-CG-M |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1678
312.0 IPS |
|
|
Image Classification (HP)
|
100% |
406
75.4 IPS |
|
|
Image Classification (Q)
|
96% |
2330
435.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
830
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
586
9.50 IPS |
|
|
Image Segmentation (Q)
|
97% |
2775
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3511
4.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
2860
3.34 IPS |
|
|
Pose Estimation (Q)
|
86% |
5857
6.92 IPS |
|
|
Object Detection (SP)
|
100% |
1270
100.7 IPS |
|
|
Object Detection (HP)
|
100% |
509
40.4 IPS |
|
|
Object Detection (Q)
|
58% |
1678
183.3 IPS |
|
|
Face Detection (SP)
|
100% |
2143
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
1020
12.1 IPS |
|
|
Face Detection (Q)
|
96% |
4412
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4376
33.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1458
11.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
5555
44.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8175
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
6303
8.10 IPS |
|
|
Style Transfer (Q)
|
87% |
9502
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1591
58.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1380
51.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2618
97.0 IPS |
|
|
Text Classification (SP)
|
100% |
1352
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
722
963.9 IPS |
|
|
Text Classification (Q)
|
97% |
1117
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1618
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
617
10.6 IPS |
|
|
Machine Translation (Q)
|
68% |
1699
32.8 IPS |
