MACHENIKE S17T 7M
Geekbench AI Score
3284
Single Precision Score
1400
Half Precision Score
4168
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Annihilator |
| Upload Date | October 30 2024 02:10 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
1804
335.5 IPS |
|
|
Image Classification (HP)
|
100% |
484
89.9 IPS |
|
|
Image Classification (Q)
|
99% |
3552
662.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1824
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
984
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2723
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6205
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
3877
4.52 IPS |
|
|
Pose Estimation (Q)
|
95% |
21448
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
2102
166.8 IPS |
|
|
Object Detection (HP)
|
100% |
657
52.1 IPS |
|
|
Object Detection (Q)
|
88% |
1961
157.2 IPS |
|
|
Face Detection (SP)
|
100% |
3788
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
1606
19.1 IPS |
|
|
Face Detection (Q)
|
97% |
4327
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6979
53.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1966
15.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
8356
66.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15126
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9535
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
21150
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2703
99.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1857
68.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4361
161.5 IPS |
|
|
Text Classification (SP)
|
100% |
1584
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
644
859.6 IPS |
|
|
Text Classification (Q)
|
97% |
560
750.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1987
34.2 IPS |
|
|
Machine Translation (HP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2083
46.5 IPS |
