MECHREVO Yaoshi15Pro Series GM5IX0A
Geekbench AI Score
15259
Single Precision Score
25054
Half Precision Score
11647
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 11 2024 04:15 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | MECHREVO Yaoshi15Pro Series GM5IX0A |
| Motherboard | MECHREVO GM5IX0A |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14650HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5633
1.05 KIPS |
|
|
Image Classification (HP)
|
99% |
10149
1.89 KIPS |
|
|
Image Classification (Q)
|
100% |
5402
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10385
168.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13291
215.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9700
157.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
83557
97.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
219496
256.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
77886
91.2 IPS |
|
|
Object Detection (SP)
|
100% |
7727
612.9 IPS |
|
|
Object Detection (HP)
|
100% |
14495
1.15 KIPS |
|
|
Object Detection (Q)
|
89% |
6121
489.9 IPS |
|
|
Face Detection (SP)
|
100% |
15982
189.9 IPS |
|
|
Face Detection (HP)
|
100% |
26516
315.1 IPS |
|
|
Face Detection (Q)
|
97% |
12933
154.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
33107
255.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
65157
503.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
27583
222.4 IPS |
|
|
Style Transfer (SP)
|
100% |
136668
175.7 IPS |
|
|
Style Transfer (HP)
|
100% |
309396
397.7 IPS |
|
|
Style Transfer (Q)
|
98% |
120278
155.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25596
945.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37297
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18252
675.8 IPS |
|
|
Text Classification (SP)
|
100% |
3316
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
3556
4.75 KIPS |
|
|
Text Classification (Q)
|
97% |
1732
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2953
50.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3204
55.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1356
30.2 IPS |
