ASUS System Product Name
Geekbench AI Score
8827
Single Precision Score
17702
Half Precision Score
5895
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 09:48 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A1000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-A GAMING WIFI D4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3655
679.7 IPS |
|
|
Image Classification (HP)
|
99% |
7284
1.36 KIPS |
|
|
Image Classification (Q)
|
99% |
2822
526.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6095
98.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10837
175.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4982
81.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
32678
38.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
118785
138.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
28168
33.0 IPS |
|
|
Object Detection (SP)
|
100% |
4151
329.3 IPS |
|
|
Object Detection (HP)
|
100% |
9712
770.4 IPS |
|
|
Object Detection (Q)
|
84% |
3313
267.2 IPS |
|
|
Face Detection (SP)
|
100% |
8893
105.7 IPS |
|
|
Face Detection (HP)
|
100% |
16694
198.4 IPS |
|
|
Face Detection (Q)
|
97% |
7108
84.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19474
150.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
45285
348.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
13727
110.0 IPS |
|
|
Style Transfer (SP)
|
100% |
59105
76.0 IPS |
|
|
Style Transfer (HP)
|
100% |
185715
238.7 IPS |
|
|
Style Transfer (Q)
|
98% |
49041
63.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13590
501.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24733
913.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7097
262.8 IPS |
|
|
Text Classification (SP)
|
100% |
2324
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3155
4.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1082
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2940
50.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3029
52.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1052
19.7 IPS |
