Nubia Technology Co.,Ltd. REDMAGIC Gamingnotebook 16PRO
Geekbench ML Score
3169
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 02:36 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Nubia Technology Co.,Ltd. REDMAGIC Gamingnotebook 16PRO |
| Motherboard | Nubia Technology Co.,Ltd. REDMAGIC Gamingnotebook 16PRO |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| 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 |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1686
315.6 IPS |
|
|
Image Classification (F16)
|
100% |
1674
313.3 IPS |
|
|
Image Classification (I8)
|
99% |
2859
534.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1495
25.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1473
24.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2119
35.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
7349
8.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
7174
8.69 IPS |
|
|
Pose Estimation (I8)
|
100% |
21372
25.9 IPS |
|
|
Object Detection (F32)
|
100% |
1649
123.1 IPS |
|
|
Object Detection (F16)
|
100% |
1638
122.3 IPS |
|
|
Object Detection (I8)
|
62% |
1376
102.8 IPS |
|
|
Face Detection (F32)
|
100% |
3112
37.0 IPS |
|
|
Face Detection (F16)
|
100% |
3259
38.8 IPS |
|
|
Face Detection (I8)
|
89% |
3322
39.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
6884
53.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
6837
53.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
11501
89.2 IPS |
|
|
Style Transfer (F32)
|
100% |
16819
22.1 IPS |
|
|
Style Transfer (F16)
|
100% |
16551
21.8 IPS |
|
|
Style Transfer (I8)
|
98% |
17819
23.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2993
106.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3153
112.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4227
151.0 IPS |
|
|
Text Classification (F32)
|
100% |
1088
1.56 KIPS |
|
|
Text Classification (F16)
|
100% |
1071
1.54 KIPS |
|
|
Text Classification (I8)
|
98% |
345
496.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1487
27.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1490
27.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2118
39.0 IPS |
