ASUS System Product Name
Geekbench AI Score
49337
Single Precision Score
71699
Half Precision Score
35879
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | April 10 2025 04:51 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% |
17495
3.25 KIPS |
|
|
Image Classification (HP)
|
100% |
22095
4.11 KIPS |
|
|
Image Classification (Q)
|
100% |
14881
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
37607
609.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
46310
750.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
34042
553.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
425278
496.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
980898
1.14 KIPS |
|
|
Pose Estimation (Q)
|
96% |
338850
396.9 IPS |
|
|
Object Detection (SP)
|
100% |
24352
1.93 KIPS |
|
|
Object Detection (HP)
|
100% |
30705
2.44 KIPS |
|
|
Object Detection (Q)
|
85% |
20303
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
69796
829.3 IPS |
|
|
Face Detection (HP)
|
100% |
88992
1.06 KIPS |
|
|
Face Detection (Q)
|
97% |
57616
687.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
114861
884.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
198858
1.53 KIPS |
|
|
Depth Estimation (Q)
|
77% |
79972
640.5 IPS |
|
|
Style Transfer (SP)
|
100% |
666169
856.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1770164
2.28 KIPS |
|
|
Style Transfer (Q)
|
98% |
551013
710.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
77556
2.86 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
100347
3.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55430
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
4193
5.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5027
6.71 KIPS |
|
|
Text Classification (Q)
|
97% |
2433
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
7222
124.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7373
127.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2963
55.6 IPS |
