ASUS System Product Name
Geekbench AI Score
5975
Single Precision Score
4148
Half Precision Score
15488
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | December 30 2025 09:05 PM |
| Views | 3 |
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 | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3545
659.3 IPS |
|
|
Image Classification (HP)
|
100% |
2687
499.7 IPS |
|
|
Image Classification (Q)
|
100% |
10202
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4683
75.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1906
30.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12989
210.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6845
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
4815
5.62 IPS |
|
|
Pose Estimation (Q)
|
98% |
26481
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
3525
279.6 IPS |
|
|
Object Detection (HP)
|
100% |
2714
215.3 IPS |
|
|
Object Detection (Q)
|
88% |
10439
836.8 IPS |
|
|
Face Detection (SP)
|
100% |
10065
119.6 IPS |
|
|
Face Detection (HP)
|
100% |
8122
96.5 IPS |
|
|
Face Detection (Q)
|
100% |
26382
313.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9215
71.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6631
51.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
25576
199.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18665
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12691
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
69267
89.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4206
155.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2929
108.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13850
512.9 IPS |
|
|
Text Classification (SP)
|
100% |
3241
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
2239
2.99 KIPS |
|
|
Text Classification (Q)
|
92% |
5549
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
6142
105.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5034
86.7 IPS |
|
|
Machine Translation (Q)
|
100% |
6039
104.0 IPS |
