Razer Blade 16 - RZ09-0510
Geekbench AI Score
29487
Single Precision Score
43978
Half Precision Score
21859
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | morewings |
| Upload Date | June 26 2025 04:10 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 Laptop GPU |
| 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% |
10639
1.98 KIPS |
|
|
Image Classification (HP)
|
99% |
15654
2.92 KIPS |
|
|
Image Classification (Q)
|
100% |
9340
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21063
341.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
26530
430.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
17674
287.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
196568
229.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
436631
509.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
174308
204.2 IPS |
|
|
Object Detection (SP)
|
100% |
14374
1.14 KIPS |
|
|
Object Detection (HP)
|
100% |
20670
1.64 KIPS |
|
|
Object Detection (Q)
|
85% |
12382
996.0 IPS |
|
|
Face Detection (SP)
|
100% |
43137
512.6 IPS |
|
|
Face Detection (HP)
|
100% |
58200
691.5 IPS |
|
|
Face Detection (Q)
|
97% |
37210
443.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
71034
547.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
126296
975.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
54241
433.2 IPS |
|
|
Style Transfer (SP)
|
100% |
316663
407.1 IPS |
|
|
Style Transfer (HP)
|
100% |
737939
948.6 IPS |
|
|
Style Transfer (Q)
|
98% |
278513
359.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44993
1.66 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62340
2.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34472
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
3454
4.61 KIPS |
|
|
Text Classification (HP)
|
99% |
4286
5.72 KIPS |
|
|
Text Classification (Q)
|
97% |
1757
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5205
89.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4982
85.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2054
38.5 IPS |
