MECHREVO Kuangshi16Pro Series GM6PQ7X
Geekbench AI Score
19437
Single Precision Score
31000
Half Precision Score
15176
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 09:54 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | MECHREVO Kuangshi16Pro Series GM6PQ7X |
| Motherboard | MECHREVO GM6PQ7X |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7860
1.46 KIPS |
|
|
Image Classification (HP)
|
99% |
12393
2.31 KIPS |
|
|
Image Classification (Q)
|
100% |
7156
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12176
197.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15410
249.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
11289
183.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
117126
136.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
300422
350.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
103851
121.7 IPS |
|
|
Object Detection (SP)
|
100% |
9477
751.7 IPS |
|
|
Object Detection (HP)
|
100% |
15420
1.22 KIPS |
|
|
Object Detection (Q)
|
85% |
8376
674.3 IPS |
|
|
Face Detection (SP)
|
100% |
22878
271.8 IPS |
|
|
Face Detection (HP)
|
100% |
33900
402.8 IPS |
|
|
Face Detection (Q)
|
97% |
20467
244.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
43799
337.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
86379
665.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
35973
287.5 IPS |
|
|
Style Transfer (SP)
|
100% |
188128
241.8 IPS |
|
|
Style Transfer (HP)
|
100% |
446537
574.0 IPS |
|
|
Style Transfer (Q)
|
98% |
165741
213.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34979
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50241
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25067
928.2 IPS |
|
|
Text Classification (SP)
|
100% |
3320
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
3981
5.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1743
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3310
57.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3543
61.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1730
32.4 IPS |
