ASUS System Product Name
Geekbench AI Score
48685
Single Precision Score
71045
Half Precision Score
35987
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | April 10 2025 03:58 PM |
| Views | 2 |
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% |
17430
3.24 KIPS |
|
|
Image Classification (HP)
|
100% |
22216
4.13 KIPS |
|
|
Image Classification (Q)
|
100% |
15206
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
37605
609.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
46597
755.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
34100
554.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
417633
487.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
962479
1.12 KIPS |
|
|
Pose Estimation (Q)
|
96% |
331749
388.6 IPS |
|
|
Object Detection (SP)
|
100% |
23957
1.90 KIPS |
|
|
Object Detection (HP)
|
100% |
30274
2.40 KIPS |
|
|
Object Detection (Q)
|
85% |
19932
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
68848
818.1 IPS |
|
|
Face Detection (HP)
|
100% |
89312
1.06 KIPS |
|
|
Face Detection (Q)
|
97% |
55938
667.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
113345
873.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
196337
1.51 KIPS |
|
|
Depth Estimation (Q)
|
77% |
80526
645.0 IPS |
|
|
Style Transfer (SP)
|
100% |
657359
845.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1751551
2.25 KIPS |
|
|
Style Transfer (Q)
|
98% |
541755
698.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
75360
2.78 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
99561
3.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54683
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
4100
5.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4869
6.50 KIPS |
|
|
Text Classification (Q)
|
97% |
2489
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
7198
124.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7295
125.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3199
60.0 IPS |
