Razer Blade 18 - RZ09-0484
Geekbench AI Score
25025
Single Precision Score
39857
Half Precision Score
19082
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 22 2025 04:16 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 Laptop GPU |
| 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% |
9667
1.80 KIPS |
|
|
Image Classification (HP)
|
99% |
15776
2.94 KIPS |
|
|
Image Classification (Q)
|
100% |
8521
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18791
304.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24591
398.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
17097
278.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
134536
157.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
399378
466.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
127673
149.6 IPS |
|
|
Object Detection (SP)
|
100% |
12316
976.9 IPS |
|
|
Object Detection (HP)
|
100% |
18811
1.49 KIPS |
|
|
Object Detection (Q)
|
85% |
10272
826.9 IPS |
|
|
Face Detection (SP)
|
100% |
36402
432.5 IPS |
|
|
Face Detection (HP)
|
100% |
50622
601.5 IPS |
|
|
Face Detection (Q)
|
97% |
29924
356.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
62759
483.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
109603
846.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
47636
380.8 IPS |
|
|
Style Transfer (SP)
|
100% |
224086
288.1 IPS |
|
|
Style Transfer (HP)
|
100% |
619534
796.4 IPS |
|
|
Style Transfer (Q)
|
98% |
216457
279.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39419
1.46 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50278
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29015
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3238
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
3990
5.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1827
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4899
84.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5035
86.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2049
38.4 IPS |
