ASUS System Product Name
Geekbench AI Score
49487
Single Precision Score
71938
Half Precision Score
36136
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | April 10 2025 05:15 PM |
| Views | 6 |
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% |
17949
3.34 KIPS |
|
|
Image Classification (HP)
|
100% |
22740
4.23 KIPS |
|
|
Image Classification (Q)
|
100% |
15380
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
37809
612.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
47446
769.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
33948
552.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
425251
496.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
969633
1.13 KIPS |
|
|
Pose Estimation (Q)
|
96% |
330794
387.5 IPS |
|
|
Object Detection (SP)
|
100% |
24367
1.93 KIPS |
|
|
Object Detection (HP)
|
100% |
30521
2.42 KIPS |
|
|
Object Detection (Q)
|
85% |
20267
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
70006
831.8 IPS |
|
|
Face Detection (HP)
|
100% |
88707
1.05 KIPS |
|
|
Face Detection (Q)
|
97% |
57356
683.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
113426
873.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
198672
1.53 KIPS |
|
|
Depth Estimation (Q)
|
77% |
80641
645.9 IPS |
|
|
Style Transfer (SP)
|
100% |
666820
857.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1790207
2.30 KIPS |
|
|
Style Transfer (Q)
|
98% |
557108
718.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
78887
2.91 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
101212
3.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55638
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
4160
5.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4971
6.64 KIPS |
|
|
Text Classification (Q)
|
97% |
2553
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
7209
124.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7324
126.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2964
55.6 IPS |
