ASUSTeK COMPUTER INC. Z170-E System manufacturer System Product Name
Geekbench AI Score
585
Single Precision Score
360
Half Precision Score
515
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | December 17 2025 08:34 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 530 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Z170-E |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 4.01 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
319
59.2 IPS |
|
|
Image Classification (HP)
|
100% |
175
32.5 IPS |
|
|
Image Classification (Q)
|
100% |
306
56.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
463
7.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
260
4.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
412
6.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
1016
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
588
0.69 IPS |
|
|
Pose Estimation (Q)
|
97% |
977
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
349
27.7 IPS |
|
|
Object Detection (HP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (Q)
|
86% |
326
26.2 IPS |
|
|
Face Detection (SP)
|
100% |
775
9.21 IPS |
|
|
Face Detection (HP)
|
100% |
455
5.41 IPS |
|
|
Face Detection (Q)
|
97% |
706
8.42 IPS |
|
|
Depth Estimation (SP)
|
100% |
1063
8.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
640
4.95 IPS |
|
|
Depth Estimation (Q)
|
77% |
959
7.68 IPS |
|
|
Style Transfer (SP)
|
100% |
2001
2.57 IPS |
|
|
Style Transfer (HP)
|
100% |
1602
2.06 IPS |
|
|
Style Transfer (Q)
|
98% |
1899
2.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
580
21.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
344
12.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
512
19.0 IPS |
|
|
Text Classification (SP)
|
100% |
237
316.4 IPS |
|
|
Text Classification (HP)
|
100% |
161
215.5 IPS |
|
|
Text Classification (Q)
|
97% |
202
270.5 IPS |
|
|
Machine Translation (SP)
|
100% |
400
6.89 IPS |
|
|
Machine Translation (HP)
|
96% |
270
4.66 IPS |
|
|
Machine Translation (Q)
|
70% |
246
4.62 IPS |
