ASUS System Product Name
Geekbench AI Score
49341
Single Precision Score
72295
Half Precision Score
36111
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | April 10 2025 05:25 PM |
| 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% |
17922
3.33 KIPS |
|
|
Image Classification (HP)
|
100% |
22553
4.19 KIPS |
|
|
Image Classification (Q)
|
100% |
15396
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
37580
609.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
46773
758.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
34063
553.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
412958
481.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
984673
1.15 KIPS |
|
|
Pose Estimation (Q)
|
96% |
330755
387.4 IPS |
|
|
Object Detection (SP)
|
100% |
24138
1.91 KIPS |
|
|
Object Detection (HP)
|
100% |
30609
2.43 KIPS |
|
|
Object Detection (Q)
|
85% |
20026
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
69712
828.3 IPS |
|
|
Face Detection (HP)
|
100% |
90059
1.07 KIPS |
|
|
Face Detection (Q)
|
97% |
57612
687.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
116130
894.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
202568
1.56 KIPS |
|
|
Depth Estimation (Q)
|
77% |
82459
660.5 IPS |
|
|
Style Transfer (SP)
|
100% |
664059
853.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1777404
2.28 KIPS |
|
|
Style Transfer (Q)
|
98% |
550114
709.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
78603
2.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
100535
3.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54566
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
4203
5.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5083
6.79 KIPS |
|
|
Text Classification (Q)
|
97% |
2467
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
7173
123.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7404
127.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3086
57.9 IPS |
