Tactus Custom PC
Geekbench AI Score
3199
Single Precision Score
2880
Half Precision Score
6475
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 09:13 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-12700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | Tactus Custom PC |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B660M-A WIFI D4 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700KF |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1938
360.4 IPS |
|
|
Image Classification (HP)
|
100% |
1943
361.4 IPS |
|
|
Image Classification (Q)
|
100% |
4859
903.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2296
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1877
30.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3336
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7997
9.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
7993
9.33 IPS |
|
|
Pose Estimation (Q)
|
96% |
15178
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
1410
111.9 IPS |
|
|
Object Detection (HP)
|
100% |
1454
115.3 IPS |
|
|
Object Detection (Q)
|
88% |
4424
354.6 IPS |
|
|
Face Detection (SP)
|
100% |
3414
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
4116
48.9 IPS |
|
|
Face Detection (Q)
|
100% |
6465
76.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4239
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4571
35.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
12166
94.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12576
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12146
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
38858
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2503
92.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1905
70.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4458
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
1313
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
794
1.06 KIPS |
|
|
Text Classification (Q)
|
92% |
2459
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3742
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2684
46.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3556
61.3 IPS |
