ASUS System Product Name
Geekbench AI Score
25359
Single Precision Score
53636
Half Precision Score
59590
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 13 2025 06:50 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Pro B60 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z790-P WIFI |
| 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% |
13813
2.57 KIPS |
|
|
Image Classification (HP)
|
100% |
27225
5.06 KIPS |
|
|
Image Classification (Q)
|
100% |
32948
6.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27516
446.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
49461
801.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
52799
855.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
72636
84.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
318890
372.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
609586
713.7 IPS |
|
|
Object Detection (SP)
|
100% |
11070
878.1 IPS |
|
|
Object Detection (HP)
|
100% |
29397
2.33 KIPS |
|
|
Object Detection (Q)
|
88% |
33114
2.65 KIPS |
|
|
Face Detection (SP)
|
100% |
36849
437.8 IPS |
|
|
Face Detection (HP)
|
100% |
73377
871.9 IPS |
|
|
Face Detection (Q)
|
100% |
80698
958.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
55788
429.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
127394
981.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
153842
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
165389
212.6 IPS |
|
|
Style Transfer (HP)
|
100% |
518994
667.2 IPS |
|
|
Style Transfer (Q)
|
98% |
574262
740.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29495
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72869
2.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77027
2.85 KIPS |
|
|
Text Classification (SP)
|
100% |
6028
8.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5564
7.43 KIPS |
|
|
Text Classification (Q)
|
92% |
3649
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5954
102.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7937
137.2 IPS |
|
|
Machine Translation (Q)
|
100% |
8024
138.2 IPS |
