ASUS System Product Name
Geekbench AI Score
25176
Single Precision Score
36941
Half Precision Score
19951
Quantized Score
Geekbench AI 1.2.0 Pro for Windows AVX2
Result Information
| Upload Date | December 22 2024 10:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z790-P |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9989
1.86 KIPS |
|
|
Image Classification (HP)
|
99% |
15018
2.80 KIPS |
|
|
Image Classification (Q)
|
100% |
8810
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14654
237.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
17561
284.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
13570
220.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
165350
192.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
397807
464.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
148187
173.6 IPS |
|
|
Object Detection (SP)
|
100% |
11966
949.2 IPS |
|
|
Object Detection (HP)
|
100% |
17229
1.37 KIPS |
|
|
Object Detection (Q)
|
85% |
10270
826.8 IPS |
|
|
Face Detection (SP)
|
100% |
32435
385.4 IPS |
|
|
Face Detection (HP)
|
100% |
40903
486.0 IPS |
|
|
Face Detection (Q)
|
97% |
28654
341.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
63452
488.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
109215
843.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
50100
400.5 IPS |
|
|
Style Transfer (SP)
|
100% |
287959
370.2 IPS |
|
|
Style Transfer (HP)
|
100% |
645040
829.2 IPS |
|
|
Style Transfer (Q)
|
98% |
256966
331.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45266
1.67 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54568
2.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32773
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3456
4.61 KIPS |
|
|
Text Classification (HP)
|
99% |
4405
5.88 KIPS |
|
|
Text Classification (Q)
|
97% |
2100
2.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3811
65.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3780
65.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2164
40.6 IPS |
