MACHENIKE S17T 7M
Geekbench AI Score
5098
Single Precision Score
6693
Half Precision Score
10098
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Annihilator |
| Upload Date | October 30 2024 03:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
3083
573.4 IPS |
|
|
Image Classification (HP)
|
100% |
4521
840.8 IPS |
|
|
Image Classification (Q)
|
99% |
5697
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4722
76.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7303
118.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8544
138.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11249
13.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
8202
9.57 IPS |
|
|
Pose Estimation (Q)
|
97% |
33391
39.1 IPS |
|
|
Object Detection (SP)
|
100% |
2938
233.0 IPS |
|
|
Object Detection (HP)
|
100% |
4089
324.4 IPS |
|
|
Object Detection (Q)
|
90% |
6427
513.8 IPS |
|
|
Face Detection (SP)
|
100% |
8487
100.8 IPS |
|
|
Face Detection (HP)
|
100% |
12444
147.9 IPS |
|
|
Face Detection (Q)
|
100% |
17636
209.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11022
84.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
16287
125.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
20838
162.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28916
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37722
48.5 IPS |
|
|
Style Transfer (Q)
|
98% |
73833
95.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4576
169.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7301
269.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13327
493.5 IPS |
|
|
Text Classification (SP)
|
71% |
1334
1.93 KIPS |
|
|
Text Classification (HP)
|
71% |
1512
2.19 KIPS |
|
|
Text Classification (Q)
|
92% |
1506
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1495
25.8 IPS |
|
|
Machine Translation (HP)
|
96% |
1933
33.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1938
33.4 IPS |
