Razer Blade 16 - RZ09-0510
Geekbench AI Score
4650
Single Precision Score
4737
Half Precision Score
12036
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | morewings |
| Upload Date | June 26 2025 04:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
2664
495.5 IPS |
|
|
Image Classification (HP)
|
100% |
3020
561.7 IPS |
|
|
Image Classification (Q)
|
100% |
8211
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3980
64.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3956
64.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9004
146.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7158
8.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
7294
8.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
24751
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
2248
178.3 IPS |
|
|
Object Detection (HP)
|
100% |
2403
190.6 IPS |
|
|
Object Detection (Q)
|
88% |
8483
680.0 IPS |
|
|
Face Detection (SP)
|
100% |
8637
102.6 IPS |
|
|
Face Detection (HP)
|
100% |
8480
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
19406
230.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7427
57.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7600
58.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
22948
178.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20162
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21048
27.1 IPS |
|
|
Style Transfer (Q)
|
98% |
64760
83.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3782
139.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3835
141.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13328
493.6 IPS |
|
|
Text Classification (SP)
|
100% |
2455
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2480
3.31 KIPS |
|
|
Text Classification (Q)
|
92% |
4995
6.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2310
39.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2106
36.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2141
36.9 IPS |
