ASUS System Product Name
Geekbench AI Score
25462
Single Precision Score
54076
Half Precision Score
60025
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 16 2025 08:32 AM |
| Views | 21 |
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 i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13844
2.57 KIPS |
|
|
Image Classification (HP)
|
100% |
27311
5.08 KIPS |
|
|
Image Classification (Q)
|
100% |
32902
6.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27510
446.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
49393
800.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
52741
855.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
72676
84.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
318598
371.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
607687
711.5 IPS |
|
|
Object Detection (SP)
|
100% |
11103
880.7 IPS |
|
|
Object Detection (HP)
|
100% |
29720
2.36 KIPS |
|
|
Object Detection (Q)
|
88% |
33245
2.66 KIPS |
|
|
Face Detection (SP)
|
100% |
36865
438.0 IPS |
|
|
Face Detection (HP)
|
100% |
74062
880.0 IPS |
|
|
Face Detection (Q)
|
100% |
82420
979.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
55653
428.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
127964
985.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
153379
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
166755
214.4 IPS |
|
|
Style Transfer (HP)
|
100% |
519271
667.5 IPS |
|
|
Style Transfer (Q)
|
98% |
572574
738.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29682
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74470
2.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79515
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
6147
8.20 KIPS |
|
|
Text Classification (HP)
|
100% |
5617
7.50 KIPS |
|
|
Text Classification (Q)
|
92% |
3736
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5972
102.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8132
140.5 IPS |
|
|
Machine Translation (Q)
|
100% |
8056
138.8 IPS |
