Razer Blade 18 - RZ09-0509
Geekbench ML Score
3963
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 11 2024 06:48 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Razer Blade 18 - RZ09-0509 |
| Motherboard | Razer KI8100 |
| 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% |
2040
381.8 IPS |
|
|
Image Classification (F16)
|
100% |
2044
382.5 IPS |
|
|
Image Classification (I8)
|
99% |
3552
664.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1879
31.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1912
31.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2553
42.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
9033
10.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
9057
11.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
27656
33.5 IPS |
|
|
Object Detection (F32)
|
100% |
1955
145.9 IPS |
|
|
Object Detection (F16)
|
100% |
1946
145.3 IPS |
|
|
Object Detection (I8)
|
62% |
1625
121.3 IPS |
|
|
Face Detection (F32)
|
100% |
4203
50.0 IPS |
|
|
Face Detection (F16)
|
100% |
4179
49.7 IPS |
|
|
Face Detection (I8)
|
89% |
4219
50.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
9129
70.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
8789
68.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
13757
106.7 IPS |
|
|
Style Transfer (F32)
|
100% |
21377
28.1 IPS |
|
|
Style Transfer (F16)
|
100% |
21307
28.0 IPS |
|
|
Style Transfer (I8)
|
98% |
23972
31.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3887
138.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3862
137.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4733
169.0 IPS |
|
|
Text Classification (F32)
|
100% |
1425
2.05 KIPS |
|
|
Text Classification (F16)
|
100% |
1409
2.02 KIPS |
|
|
Text Classification (I8)
|
98% |
376
540.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1886
34.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1893
34.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2700
49.7 IPS |
