ASUS System Product Name
Geekbench AI Score
42568
Single Precision Score
62862
Half Precision Score
30730
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 23 2025 04:53 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z690-P D4 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15494
2.88 KIPS |
|
|
Image Classification (HP)
|
100% |
20214
3.76 KIPS |
|
|
Image Classification (Q)
|
100% |
12964
2.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
32377
524.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
41801
677.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
29753
483.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
350962
409.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
878671
1.03 KIPS |
|
|
Pose Estimation (Q)
|
96% |
288744
338.2 IPS |
|
|
Object Detection (SP)
|
100% |
20875
1.66 KIPS |
|
|
Object Detection (HP)
|
100% |
27235
2.16 KIPS |
|
|
Object Detection (Q)
|
85% |
17217
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
63430
753.7 IPS |
|
|
Face Detection (HP)
|
100% |
76737
911.8 IPS |
|
|
Face Detection (Q)
|
97% |
52966
631.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
99806
768.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
165289
1.27 KIPS |
|
|
Depth Estimation (Q)
|
77% |
74166
594.0 IPS |
|
|
Style Transfer (SP)
|
100% |
523168
672.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1442905
1.85 KIPS |
|
|
Style Transfer (Q)
|
98% |
453404
584.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
67189
2.48 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87975
3.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44574
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
3960
5.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4847
6.47 KIPS |
|
|
Text Classification (Q)
|
97% |
2013
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
6032
103.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6107
105.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2451
46.0 IPS |
