ASUS System Product Name
Geekbench AI Score
33924
Single Precision Score
49268
Half Precision Score
26384
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | January 14 2025 04:27 AM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| 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% |
13633
2.54 KIPS |
|
|
Image Classification (HP)
|
99% |
19136
3.57 KIPS |
|
|
Image Classification (Q)
|
100% |
11863
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19945
323.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24583
398.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
18363
298.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
262803
306.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
503543
587.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
238961
280.0 IPS |
|
|
Object Detection (SP)
|
100% |
16602
1.32 KIPS |
|
|
Object Detection (HP)
|
100% |
23222
1.84 KIPS |
|
|
Object Detection (Q)
|
85% |
14391
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
45107
536.0 IPS |
|
|
Face Detection (HP)
|
100% |
57292
680.8 IPS |
|
|
Face Detection (Q)
|
97% |
39125
466.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
80138
617.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
158015
1.22 KIPS |
|
|
Depth Estimation (Q)
|
78% |
62794
501.5 IPS |
|
|
Style Transfer (SP)
|
100% |
407644
524.0 IPS |
|
|
Style Transfer (HP)
|
100% |
901828
1.16 KIPS |
|
|
Style Transfer (Q)
|
98% |
360300
464.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56414
2.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75630
2.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41984
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
3997
5.34 KIPS |
|
|
Text Classification (HP)
|
99% |
4879
6.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2334
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5122
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5085
87.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2516
47.2 IPS |
