Razer Blade 18 - RZ09-0484
Geekbench AI Score
3294
Single Precision Score
1100
Half Precision Score
4381
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tobyg |
| Upload Date | February 03 2025 04:15 PM |
| Views | 18 |
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% |
2695
501.1 IPS |
|
|
Image Classification (HP)
|
100% |
399
74.2 IPS |
|
|
Image Classification (Q)
|
99% |
4282
798.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1499
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
707
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2193
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6165
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
2966
3.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
18229
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
2384
189.1 IPS |
|
|
Object Detection (HP)
|
100% |
507
40.2 IPS |
|
|
Object Detection (Q)
|
86% |
3862
310.3 IPS |
|
|
Face Detection (SP)
|
100% |
6813
81.0 IPS |
|
|
Face Detection (HP)
|
100% |
1279
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
6720
80.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7207
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1556
12.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
11876
94.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14548
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7644
9.83 IPS |
|
|
Style Transfer (Q)
|
98% |
20223
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2491
92.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1418
52.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3301
122.2 IPS |
|
|
Text Classification (SP)
|
100% |
953
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
488
651.8 IPS |
|
|
Text Classification (Q)
|
97% |
372
498.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1497
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
581
10.0 IPS |
|
|
Machine Translation (Q)
|
65% |
1991
40.0 IPS |
