ASUS PRIME Z270-A W11Pro System manufacturer System Product Name
Geekbench AI Score
1933
Single Precision Score
1884
Half Precision Score
2546
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Zztony |
| Upload Date | November 23 2025 01:12 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-7700 CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z270-A |
| Power Plan | Balansert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1059
196.9 IPS |
|
|
Image Classification (HP)
|
100% |
1054
196.1 IPS |
|
|
Image Classification (Q)
|
100% |
1755
326.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1212
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1225
19.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1930
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2289
2.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
3222
3.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
5921
6.95 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.5 IPS |
|
|
Object Detection (HP)
|
100% |
1148
91.1 IPS |
|
|
Object Detection (Q)
|
87% |
1728
138.6 IPS |
|
|
Face Detection (SP)
|
100% |
3423
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
2476
29.4 IPS |
|
|
Face Detection (Q)
|
97% |
3686
43.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2531
19.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2367
18.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
3616
28.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5460
7.02 IPS |
|
|
Style Transfer (HP)
|
100% |
6675
8.58 IPS |
|
|
Style Transfer (Q)
|
98% |
9485
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1055
38.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1043
38.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1742
64.5 IPS |
|
|
Text Classification (SP)
|
100% |
1155
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1251
1.67 KIPS |
|
|
Text Classification (Q)
|
91% |
598
804.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2720
46.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2319
40.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2517
43.4 IPS |
