Razer Blade 16 - RZ09-0510
Geekbench AI Score
4553
Single Precision Score
1367
Half Precision Score
6940
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | morewings |
| Upload Date | June 26 2025 04:13 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Razer Blade 16 - RZ09-0510 |
| Motherboard | Razer SO6100 |
| Power Plan | High performance |
| 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 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3508
652.4 IPS |
|
|
Image Classification (HP)
|
100% |
469
87.2 IPS |
|
|
Image Classification (Q)
|
99% |
5957
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2005
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
910
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3506
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9061
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
4058
4.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
26452
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
3386
268.6 IPS |
|
|
Object Detection (HP)
|
100% |
614
48.7 IPS |
|
|
Object Detection (Q)
|
86% |
6001
482.3 IPS |
|
|
Face Detection (SP)
|
100% |
9856
117.1 IPS |
|
|
Face Detection (HP)
|
100% |
1534
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
10036
119.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10201
78.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1839
14.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
15523
123.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20032
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9881
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
24196
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3268
120.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1899
70.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4171
154.5 IPS |
|
|
Text Classification (SP)
|
100% |
1389
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
566
755.4 IPS |
|
|
Text Classification (Q)
|
97% |
1462
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1941
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3401
68.3 IPS |
