ASUS System Product Name
Geekbench AI Score
7865
Single Precision Score
5376
Half Precision Score
19594
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 31 2025 04:57 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-12700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-G GAMING WIFI |
| Power Plan | Najwysza wydajno |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.61 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4823
896.9 IPS |
|
|
Image Classification (HP)
|
100% |
3756
698.4 IPS |
|
|
Image Classification (Q)
|
100% |
12549
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6189
100.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2525
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
16838
273.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9150
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
6480
7.56 IPS |
|
|
Pose Estimation (Q)
|
98% |
35698
41.8 IPS |
|
|
Object Detection (SP)
|
100% |
4689
371.9 IPS |
|
|
Object Detection (HP)
|
100% |
3648
289.4 IPS |
|
|
Object Detection (Q)
|
88% |
13371
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
13580
161.4 IPS |
|
|
Face Detection (HP)
|
100% |
10692
127.0 IPS |
|
|
Face Detection (Q)
|
100% |
33809
401.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12328
95.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9062
69.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
36272
282.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25570
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
17048
21.9 IPS |
|
|
Style Transfer (Q)
|
98% |
92822
119.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5640
208.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3907
144.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17835
660.5 IPS |
|
|
Text Classification (SP)
|
100% |
4128
5.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2349
3.14 KIPS |
|
|
Text Classification (Q)
|
92% |
5850
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
7104
122.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5939
102.3 IPS |
|
|
Machine Translation (Q)
|
100% |
6967
120.0 IPS |
