ASUS System Product Name
Geekbench AI Score
49352
Single Precision Score
72492
Half Precision Score
36021
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | June 03 2025 05:42 PM |
| Views | 13 |
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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18213
3.39 KIPS |
|
|
Image Classification (HP)
|
100% |
22889
4.26 KIPS |
|
|
Image Classification (Q)
|
100% |
15615
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
37455
607.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
46322
750.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
34088
554.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
418465
488.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
992105
1.16 KIPS |
|
|
Pose Estimation (Q)
|
96% |
322235
377.5 IPS |
|
|
Object Detection (SP)
|
100% |
24392
1.93 KIPS |
|
|
Object Detection (HP)
|
100% |
31258
2.48 KIPS |
|
|
Object Detection (Q)
|
85% |
20411
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
69713
828.3 IPS |
|
|
Face Detection (HP)
|
100% |
89550
1.06 KIPS |
|
|
Face Detection (Q)
|
97% |
55304
659.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
110669
852.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
202098
1.56 KIPS |
|
|
Depth Estimation (Q)
|
77% |
77926
624.1 IPS |
|
|
Style Transfer (SP)
|
100% |
649239
834.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1784704
2.29 KIPS |
|
|
Style Transfer (Q)
|
98% |
532054
686.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
78184
2.89 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
102162
3.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55553
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
4344
5.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5046
6.73 KIPS |
|
|
Text Classification (Q)
|
97% |
2599
3.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
7237
124.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7321
126.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3173
59.5 IPS |
