Razer Blade 18 - RZ09-0484
Geekbench AI Score
2868
Single Precision Score
1010
Half Precision Score
5245
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 22 2025 04:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13950HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Razer Blade 18 - RZ09-0484 |
| Motherboard | Razer KI890 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13950HX |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2279
423.9 IPS |
|
|
Image Classification (HP)
|
100% |
373
69.4 IPS |
|
|
Image Classification (Q)
|
99% |
4229
788.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1257
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
670
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7834
127.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5385
6.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2630
3.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
16434
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2210
175.3 IPS |
|
|
Object Detection (HP)
|
100% |
445
35.3 IPS |
|
|
Object Detection (Q)
|
86% |
4341
348.9 IPS |
|
|
Face Detection (SP)
|
100% |
6567
78.0 IPS |
|
|
Face Detection (HP)
|
100% |
1076
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
6333
75.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6293
48.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1369
10.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10382
82.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12153
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6535
8.40 IPS |
|
|
Style Transfer (Q)
|
98% |
18184
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2097
77.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1254
46.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3152
116.7 IPS |
|
|
Text Classification (SP)
|
100% |
845
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
525
701.2 IPS |
|
|
Text Classification (Q)
|
97% |
898
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1245
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
600
10.3 IPS |
|
|
Machine Translation (Q)
|
65% |
1971
39.6 IPS |
