ASUS System Product Name
Geekbench AI Score
5171
Single Precision Score
5184
Half Precision Score
11726
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 12 2025 12:57 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-12600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B660-G GAMING WIFI |
| Power Plan | Najwysza wydajno |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3176
590.5 IPS |
|
|
Image Classification (HP)
|
100% |
3179
591.3 IPS |
|
|
Image Classification (Q)
|
100% |
7107
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3934
63.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3938
63.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7445
120.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5939
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
5936
6.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
21685
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
3064
243.1 IPS |
|
|
Object Detection (HP)
|
100% |
3085
244.7 IPS |
|
|
Object Detection (Q)
|
88% |
7642
612.6 IPS |
|
|
Face Detection (SP)
|
100% |
8822
104.8 IPS |
|
|
Face Detection (HP)
|
100% |
8788
104.4 IPS |
|
|
Face Detection (Q)
|
100% |
17110
203.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7688
59.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7891
60.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
19326
150.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17224
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17562
22.6 IPS |
|
|
Style Transfer (Q)
|
98% |
59809
77.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3716
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3698
136.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11872
439.7 IPS |
|
|
Text Classification (SP)
|
100% |
2768
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2698
3.60 KIPS |
|
|
Text Classification (Q)
|
92% |
4816
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
5009
86.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5032
86.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4958
85.4 IPS |
