ASUS PRIME Z270-A W11Pro RX580 System manufacturer System Product Name
Geekbench AI Score
6689
Single Precision Score
6822
Half Precision Score
4807
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Zztony |
| Upload Date | November 23 2025 01:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 580 Series |
| 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% |
2515
467.8 IPS |
|
|
Image Classification (HP)
|
100% |
2855
531.0 IPS |
|
|
Image Classification (Q)
|
100% |
2093
389.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3328
54.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3508
56.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2743
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
49348
57.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
49993
58.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
37908
44.4 IPS |
|
|
Object Detection (SP)
|
100% |
3053
242.1 IPS |
|
|
Object Detection (HP)
|
100% |
2975
236.0 IPS |
|
|
Object Detection (Q)
|
88% |
2501
200.5 IPS |
|
|
Face Detection (SP)
|
100% |
8661
102.9 IPS |
|
|
Face Detection (HP)
|
100% |
10308
122.5 IPS |
|
|
Face Detection (Q)
|
97% |
6590
78.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16575
127.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17984
138.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
11898
95.4 IPS |
|
|
Style Transfer (SP)
|
100% |
69492
89.3 IPS |
|
|
Style Transfer (HP)
|
100% |
74336
95.6 IPS |
|
|
Style Transfer (Q)
|
98% |
53543
69.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10341
381.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10917
403.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6594
244.2 IPS |
|
|
Text Classification (SP)
|
100% |
888
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
657
877.5 IPS |
|
|
Text Classification (Q)
|
97% |
573
768.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1553
26.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1483
25.7 IPS |
|
|
Machine Translation (Q)
|
70% |
764
14.3 IPS |
