Razer Blade 16 - RZ09-0510
Geekbench ML Score
4102
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 03:47 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Razer Blade 16 - RZ09-0510 |
| Motherboard | Razer SO6100 |
| Power Plan | Balanced |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2211
413.8 IPS |
|
|
Image Classification (F16)
|
100% |
2205
412.7 IPS |
|
|
Image Classification (I8)
|
99% |
3636
680.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1966
32.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1973
33.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2775
46.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
9239
11.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
9235
11.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
28129
34.1 IPS |
|
|
Object Detection (F32)
|
100% |
2019
150.7 IPS |
|
|
Object Detection (F16)
|
100% |
1999
149.3 IPS |
|
|
Object Detection (I8)
|
62% |
1765
131.8 IPS |
|
|
Face Detection (F32)
|
100% |
4407
52.4 IPS |
|
|
Face Detection (F16)
|
100% |
4449
52.9 IPS |
|
|
Face Detection (I8)
|
89% |
4389
52.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
8871
68.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
8838
68.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
14052
109.0 IPS |
|
|
Style Transfer (F32)
|
100% |
20679
27.2 IPS |
|
|
Style Transfer (F16)
|
100% |
21602
28.4 IPS |
|
|
Style Transfer (I8)
|
98% |
24017
31.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4005
143.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4040
144.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5240
187.1 IPS |
|
|
Text Classification (F32)
|
100% |
1444
2.08 KIPS |
|
|
Text Classification (F16)
|
100% |
1430
2.05 KIPS |
|
|
Text Classification (I8)
|
98% |
390
561.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1978
36.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1979
36.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2784
51.2 IPS |
