MECHREVO Jiaolong Series MRID6
Geekbench ML Score
14303
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 30 2024 08:21 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | MECHREVO Jiaolong Series MRID6 |
| Motherboard | MECHREVO MRID6-23 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7745HX |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6450
1.21 KIPS |
|
|
Image Classification (F16)
|
100% |
7638
1.43 KIPS |
|
|
Image Classification (I8)
|
100% |
6774
1.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9443
157.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
9263
154.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
8585
143.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
97630
118.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
95451
115.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
84632
102.5 IPS |
|
|
Object Detection (F32)
|
100% |
5086
379.7 IPS |
|
|
Object Detection (F16)
|
100% |
4965
370.7 IPS |
|
|
Object Detection (I8)
|
63% |
4634
346.0 IPS |
|
|
Face Detection (F32)
|
100% |
19103
227.1 IPS |
|
|
Face Detection (F16)
|
100% |
17776
211.4 IPS |
|
|
Face Detection (I8)
|
89% |
15983
190.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
45325
351.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
35908
278.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
35176
272.8 IPS |
|
|
Style Transfer (F32)
|
100% |
183821
241.8 IPS |
|
|
Style Transfer (F16)
|
100% |
140678
185.0 IPS |
|
|
Style Transfer (I8)
|
98% |
127411
167.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
26835
958.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
29611
1.06 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
20880
745.7 IPS |
|
|
Text Classification (F32)
|
100% |
2234
3.21 KIPS |
|
|
Text Classification (F16)
|
100% |
2167
3.11 KIPS |
|
|
Text Classification (I8)
|
98% |
1373
1.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
3076
56.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3075
56.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1864
34.3 IPS |
