MACHENIKE S17T 7M
Geekbench AI Score
15473
Single Precision Score
24600
Half Precision Score
9935
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Annihilator |
| Upload Date | October 30 2024 03:52 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Ti Laptop GPU |
| 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% |
5669
1.05 KIPS |
|
|
Image Classification (HP)
|
99% |
9507
1.77 KIPS |
|
|
Image Classification (Q)
|
100% |
4101
762.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
9636
156.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13304
215.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8064
131.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
96333
112.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
235083
274.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
79150
92.7 IPS |
|
|
Object Detection (SP)
|
100% |
7764
615.8 IPS |
|
|
Object Detection (HP)
|
100% |
11993
951.3 IPS |
|
|
Object Detection (Q)
|
88% |
5303
425.3 IPS |
|
|
Face Detection (SP)
|
100% |
17404
206.8 IPS |
|
|
Face Detection (HP)
|
100% |
25749
306.0 IPS |
|
|
Face Detection (Q)
|
97% |
13059
155.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
38468
296.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
65328
503.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
25523
205.6 IPS |
|
|
Style Transfer (SP)
|
100% |
155524
199.9 IPS |
|
|
Style Transfer (HP)
|
100% |
352865
453.6 IPS |
|
|
Style Transfer (Q)
|
98% |
124838
161.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24329
898.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34044
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15310
566.9 IPS |
|
|
Text Classification (SP)
|
100% |
2794
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
3609
4.82 KIPS |
|
|
Text Classification (Q)
|
97% |
994
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2721
46.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3122
53.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1066
23.8 IPS |
