ASUS System Product Name
Geekbench AI Score
44442
Single Precision Score
63127
Half Precision Score
33138
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | April 05 2025 09:24 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 HERO EVA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17142
3.19 KIPS |
|
|
Image Classification (HP)
|
100% |
21494
4.00 KIPS |
|
|
Image Classification (Q)
|
100% |
14795
2.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27163
440.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
31466
510.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
25037
407.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
394408
460.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
889117
1.04 KIPS |
|
|
Pose Estimation (Q)
|
96% |
307461
360.1 IPS |
|
|
Object Detection (SP)
|
100% |
22319
1.77 KIPS |
|
|
Object Detection (HP)
|
100% |
27338
2.17 KIPS |
|
|
Object Detection (Q)
|
85% |
18644
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
58194
691.5 IPS |
|
|
Face Detection (HP)
|
100% |
71527
849.9 IPS |
|
|
Face Detection (Q)
|
97% |
48689
580.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
110350
850.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
190043
1.46 KIPS |
|
|
Depth Estimation (Q)
|
77% |
78523
628.9 IPS |
|
|
Style Transfer (SP)
|
100% |
628803
808.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1585348
2.04 KIPS |
|
|
Style Transfer (Q)
|
98% |
522184
673.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
74957
2.77 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
97294
3.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53455
1.98 KIPS |
|
|
Text Classification (SP)
|
100% |
4183
5.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5048
6.74 KIPS |
|
|
Text Classification (Q)
|
97% |
2512
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
5792
99.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5776
99.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2806
52.6 IPS |
