Gigabyte Technology Co., Ltd. Z170X-Gaming 5
Geekbench AI Score
896
Single Precision Score
553
Half Precision Score
1351
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 16 2025 10:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z170X-Gaming 5 |
| Motherboard | Gigabyte Technology Co., Ltd. Z170X-Gaming 5 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
642
119.3 IPS |
|
|
Image Classification (HP)
|
100% |
217
40.3 IPS |
|
|
Image Classification (Q)
|
96% |
1087
202.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
301
4.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
281
4.55 IPS |
|
|
Image Segmentation (Q)
|
97% |
1125
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1299
1.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
1543
1.80 IPS |
|
|
Pose Estimation (Q)
|
86% |
3366
3.98 IPS |
|
|
Object Detection (SP)
|
100% |
565
44.8 IPS |
|
|
Object Detection (HP)
|
100% |
267
21.1 IPS |
|
|
Object Detection (Q)
|
58% |
714
78.1 IPS |
|
|
Face Detection (SP)
|
100% |
914
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
478
5.68 IPS |
|
|
Face Detection (Q)
|
96% |
2286
27.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1826
14.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
847
6.53 IPS |
|
|
Depth Estimation (Q)
|
78% |
2626
21.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3476
4.47 IPS |
|
|
Style Transfer (HP)
|
100% |
3674
4.72 IPS |
|
|
Style Transfer (Q)
|
87% |
4492
5.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
729
26.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
700
25.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1527
56.6 IPS |
|
|
Text Classification (SP)
|
100% |
843
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
410
547.6 IPS |
|
|
Text Classification (Q)
|
97% |
288
385.3 IPS |
|
|
Machine Translation (SP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
251
4.32 IPS |
|
|
Machine Translation (Q)
|
68% |
583
11.3 IPS |
