ASUS System Product Name
Geekbench AI Score
25158
Single Precision Score
53282
Half Precision Score
58772
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 13 2025 07:01 AM |
| Views | 2 |
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% |
13776
2.56 KIPS |
|
|
Image Classification (HP)
|
100% |
27157
5.05 KIPS |
|
|
Image Classification (Q)
|
100% |
32777
6.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27511
446.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
49449
801.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
52675
853.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
72569
84.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
318904
372.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
607622
711.4 IPS |
|
|
Object Detection (SP)
|
100% |
10995
872.1 IPS |
|
|
Object Detection (HP)
|
100% |
29472
2.34 KIPS |
|
|
Object Detection (Q)
|
88% |
32384
2.60 KIPS |
|
|
Face Detection (SP)
|
100% |
36425
432.8 IPS |
|
|
Face Detection (HP)
|
100% |
72540
861.9 IPS |
|
|
Face Detection (Q)
|
100% |
79854
948.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
55838
430.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
127463
982.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
152930
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
167610
215.5 IPS |
|
|
Style Transfer (HP)
|
100% |
518841
667.0 IPS |
|
|
Style Transfer (Q)
|
98% |
572367
738.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29093
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71655
2.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76950
2.85 KIPS |
|
|
Text Classification (SP)
|
100% |
5743
7.67 KIPS |
|
|
Text Classification (HP)
|
100% |
5459
7.29 KIPS |
|
|
Text Classification (Q)
|
92% |
3384
4.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5898
101.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7787
134.6 IPS |
|
|
Machine Translation (Q)
|
100% |
7953
137.0 IPS |
