ASUS System Product Name
Geekbench AI Score
13008
Single Precision Score
19608
Half Precision Score
21080
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 11:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A750 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z690-P WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | 13th Gen Intel(R) Core(TM) i5-13490F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5500
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
7920
1.47 KIPS |
|
|
Image Classification (Q)
|
100% |
8236
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12742
206.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15859
257.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
17257
279.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
67440
78.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
191432
223.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
262009
306.7 IPS |
|
|
Object Detection (SP)
|
100% |
5205
412.9 IPS |
|
|
Object Detection (HP)
|
100% |
8981
712.4 IPS |
|
|
Object Detection (Q)
|
88% |
9674
775.3 IPS |
|
|
Face Detection (SP)
|
100% |
24847
295.2 IPS |
|
|
Face Detection (HP)
|
100% |
29730
353.3 IPS |
|
|
Face Detection (Q)
|
100% |
33924
403.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
24826
191.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
46811
360.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
52969
411.7 IPS |
|
|
Style Transfer (SP)
|
100% |
176641
227.1 IPS |
|
|
Style Transfer (HP)
|
100% |
298806
384.1 IPS |
|
|
Style Transfer (Q)
|
98% |
359888
464.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17463
644.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24496
904.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24345
901.6 IPS |
|
|
Text Classification (SP)
|
100% |
1758
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1605
2.14 KIPS |
|
|
Text Classification (Q)
|
92% |
1295
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1686
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2380
41.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2359
40.6 IPS |
