Shuttle Inc. SZ170
Geekbench AI Score
5309
Single Precision Score
5408
Half Precision Score
4032
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | datamushroom |
| Upload Date | September 05 2025 12:41 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1060 6GB |
| 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% |
1300
241.8 IPS |
|
|
Image Classification (HP)
|
100% |
2364
439.7 IPS |
|
|
Image Classification (Q)
|
99% |
1177
219.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3664
59.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3370
54.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3011
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
37339
43.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
20401
23.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
30076
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
1896
150.4 IPS |
|
|
Object Detection (HP)
|
100% |
2959
234.7 IPS |
|
|
Object Detection (Q)
|
83% |
1679
135.6 IPS |
|
|
Face Detection (SP)
|
100% |
3794
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
5687
67.6 IPS |
|
|
Face Detection (Q)
|
97% |
3307
39.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12159
93.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
11075
85.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
9623
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
59917
77.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36421
46.8 IPS |
|
|
Style Transfer (Q)
|
98% |
47045
60.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10765
397.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7901
291.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6997
259.1 IPS |
|
|
Text Classification (SP)
|
100% |
1075
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1478
1.97 KIPS |
|
|
Text Classification (Q)
|
97% |
651
872.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1650
28.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1661
28.7 IPS |
|
|
Machine Translation (Q)
|
70% |
932
17.5 IPS |
