ASUS System Product Name
Geekbench AI Score
25099
Single Precision Score
37245
Half Precision Score
20007
Quantized Score
Geekbench AI 1.2.0 Pro for Windows AVX2
Result Information
| Upload Date | December 22 2024 07:49 AM |
| Views | 2 |
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% |
9775
1.82 KIPS |
|
|
Image Classification (HP)
|
99% |
15213
2.84 KIPS |
|
|
Image Classification (Q)
|
100% |
8715
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14746
239.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17411
282.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
13539
220.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
158881
185.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
398668
465.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
147391
172.7 IPS |
|
|
Object Detection (SP)
|
100% |
11997
951.6 IPS |
|
|
Object Detection (HP)
|
100% |
17317
1.37 KIPS |
|
|
Object Detection (Q)
|
85% |
10428
839.4 IPS |
|
|
Face Detection (SP)
|
100% |
32266
383.4 IPS |
|
|
Face Detection (HP)
|
100% |
41051
487.8 IPS |
|
|
Face Detection (Q)
|
97% |
28843
343.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
63751
491.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
108997
842.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
50306
402.2 IPS |
|
|
Style Transfer (SP)
|
100% |
286592
368.4 IPS |
|
|
Style Transfer (HP)
|
100% |
662651
851.8 IPS |
|
|
Style Transfer (Q)
|
98% |
260494
335.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44246
1.63 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56590
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32426
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3617
4.83 KIPS |
|
|
Text Classification (HP)
|
99% |
4424
5.90 KIPS |
|
|
Text Classification (Q)
|
97% |
2139
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3828
65.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3785
65.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2162
40.5 IPS |
