ASUS System Product Name
Geekbench AI Score
25289
Single Precision Score
53539
Half Precision Score
59349
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 13 2025 07:11 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% |
13724
2.55 KIPS |
|
|
Image Classification (HP)
|
100% |
27432
5.10 KIPS |
|
|
Image Classification (Q)
|
100% |
32323
6.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27591
447.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
49302
799.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
52735
854.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
72503
84.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
319796
373.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
609895
714.0 IPS |
|
|
Object Detection (SP)
|
100% |
11035
875.3 IPS |
|
|
Object Detection (HP)
|
100% |
29462
2.34 KIPS |
|
|
Object Detection (Q)
|
88% |
32726
2.62 KIPS |
|
|
Face Detection (SP)
|
100% |
36626
435.2 IPS |
|
|
Face Detection (HP)
|
100% |
72812
865.2 IPS |
|
|
Face Detection (Q)
|
100% |
79979
950.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
55722
429.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
127006
978.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
153312
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
167922
215.9 IPS |
|
|
Style Transfer (HP)
|
100% |
519482
667.8 IPS |
|
|
Style Transfer (Q)
|
98% |
572807
738.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29222
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71905
2.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77931
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
5950
7.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5548
7.40 KIPS |
|
|
Text Classification (Q)
|
92% |
3623
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5927
102.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7925
137.0 IPS |
|
|
Machine Translation (Q)
|
100% |
8036
138.4 IPS |
