MACHENIKE S17T 7M
Geekbench AI Score
4135
Single Precision Score
4103
Half Precision Score
9830
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Annihilator |
| Upload Date | October 30 2024 03:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i9-12900H |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | MACHENIKE S17T 7M |
| Motherboard | MACHENIKE S17T 7M |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2879
535.5 IPS |
|
|
Image Classification (HP)
|
100% |
2872
534.0 IPS |
|
|
Image Classification (Q)
|
100% |
6162
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3073
49.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3023
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5277
85.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5318
6.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
5352
6.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
19728
23.1 IPS |
|
|
Object Detection (SP)
|
100% |
2632
208.8 IPS |
|
|
Object Detection (HP)
|
100% |
2646
209.9 IPS |
|
|
Object Detection (Q)
|
88% |
6343
508.4 IPS |
|
|
Face Detection (SP)
|
100% |
4577
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
4406
52.4 IPS |
|
|
Face Detection (Q)
|
100% |
15324
182.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6967
53.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7045
54.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
17333
134.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15807
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15780
20.3 IPS |
|
|
Style Transfer (Q)
|
98% |
54055
69.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3279
121.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3406
125.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10718
396.9 IPS |
|
|
Text Classification (SP)
|
100% |
1845
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1815
2.42 KIPS |
|
|
Text Classification (Q)
|
92% |
3698
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3872
66.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3638
62.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3639
62.7 IPS |
