Razer Blade 18 - RZ09-0484
Geekbench AI Score
2832
Single Precision Score
2851
Half Precision Score
7845
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 22 2025 04:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
1494
277.8 IPS |
|
|
Image Classification (HP)
|
100% |
1530
284.5 IPS |
|
|
Image Classification (Q)
|
100% |
5901
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2567
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2505
40.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5931
96.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4459
5.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
4527
5.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
14435
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1501
119.0 IPS |
|
|
Object Detection (HP)
|
100% |
1497
118.7 IPS |
|
|
Object Detection (Q)
|
88% |
6016
482.2 IPS |
|
|
Face Detection (SP)
|
100% |
5247
62.4 IPS |
|
|
Face Detection (HP)
|
100% |
5419
64.4 IPS |
|
|
Face Detection (Q)
|
100% |
13384
159.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4738
36.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4718
36.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
14151
110.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13335
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13380
17.2 IPS |
|
|
Style Transfer (Q)
|
98% |
32930
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2147
79.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2201
81.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10849
401.8 IPS |
|
|
Text Classification (SP)
|
100% |
1662
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
1646
2.20 KIPS |
|
|
Text Classification (Q)
|
92% |
3508
4.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1093
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1103
19.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1224
21.1 IPS |
