Shuttle Inc. SZ170
Geekbench AI Score
1762
Single Precision Score
849
Half Precision Score
2030
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | datamushroom |
| Upload Date | September 05 2025 12:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-6600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Shuttle Inc. SZ170 |
| Motherboard | Shuttle Inc. FZ170 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6600K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1364
253.7 IPS |
|
|
Image Classification (HP)
|
100% |
349
64.8 IPS |
|
|
Image Classification (Q)
|
96% |
1906
355.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
726
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
485
7.86 IPS |
|
|
Image Segmentation (Q)
|
97% |
1086
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2744
3.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
2135
2.49 IPS |
|
|
Pose Estimation (Q)
|
86% |
4498
5.32 IPS |
|
|
Object Detection (SP)
|
100% |
1239
98.3 IPS |
|
|
Object Detection (HP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (Q)
|
58% |
1241
135.6 IPS |
|
|
Face Detection (SP)
|
100% |
2452
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
888
10.6 IPS |
|
|
Face Detection (Q)
|
96% |
3680
43.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3662
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1216
9.37 IPS |
|
|
Depth Estimation (Q)
|
78% |
4709
37.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6187
7.95 IPS |
|
|
Style Transfer (HP)
|
100% |
4855
6.24 IPS |
|
|
Style Transfer (Q)
|
87% |
7859
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1246
46.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1035
38.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1681
62.3 IPS |
|
|
Text Classification (SP)
|
100% |
956
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
515
687.6 IPS |
|
|
Text Classification (Q)
|
97% |
334
448.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1297
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
464
7.99 IPS |
|
|
Machine Translation (Q)
|
68% |
1346
26.0 IPS |
