MACHENIKE S17T 7M
Geekbench AI Score
3282
Single Precision Score
3318
Half Precision Score
1937
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Annihilator |
| Upload Date | October 30 2024 02:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1271
236.4 IPS |
|
|
Image Classification (HP)
|
100% |
1415
263.2 IPS |
|
|
Image Classification (Q)
|
99% |
1023
190.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2199
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2549
41.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1554
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13121
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13151
15.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
6465
7.57 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
98% |
1380
109.8 IPS |
|
|
Object Detection (Q)
|
89% |
1158
92.7 IPS |
|
|
Face Detection (SP)
|
100% |
3003
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
3458
41.1 IPS |
|
|
Face Detection (Q)
|
97% |
1978
23.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6316
48.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
6771
52.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
4285
34.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27832
35.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34550
44.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17580
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3917
144.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5037
186.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1612
59.7 IPS |
|
|
Text Classification (SP)
|
100% |
926
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
474
633.1 IPS |
|
|
Text Classification (Q)
|
97% |
520
696.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1363
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1282
22.1 IPS |
|
|
Machine Translation (Q)
|
60% |
501
11.2 IPS |
