Razer Blade 15 (2022) - RZ09-0421
Geekbench AI Score
11682
Single Precision Score
18483
Half Precision Score
7827
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | aenewton |
| Upload Date | August 24 2024 11:36 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Razer Blade 15 (2022) - RZ09-0421 |
| Motherboard | Razer CH580 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12800H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4344
807.9 IPS |
|
|
Image Classification (HP)
|
99% |
6441
1.20 KIPS |
|
|
Image Classification (Q)
|
100% |
3159
587.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6936
112.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9203
149.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5714
92.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
74230
86.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
205173
239.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
61684
72.2 IPS |
|
|
Object Detection (SP)
|
100% |
5804
460.4 IPS |
|
|
Object Detection (HP)
|
100% |
9531
756.0 IPS |
|
|
Object Detection (Q)
|
88% |
4506
361.4 IPS |
|
|
Face Detection (SP)
|
100% |
12106
143.9 IPS |
|
|
Face Detection (HP)
|
100% |
16264
193.2 IPS |
|
|
Face Detection (Q)
|
97% |
9465
112.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
31411
242.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
55113
424.6 IPS |
|
|
Depth Estimation (Q)
|
69% |
20217
171.3 IPS |
|
|
Style Transfer (SP)
|
100% |
123107
158.3 IPS |
|
|
Style Transfer (HP)
|
100% |
316286
406.6 IPS |
|
|
Style Transfer (Q)
|
98% |
100930
130.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20953
773.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26881
992.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12413
459.6 IPS |
|
|
Text Classification (SP)
|
100% |
2060
2.75 KIPS |
|
|
Text Classification (HP)
|
99% |
2916
3.89 KIPS |
|
|
Text Classification (Q)
|
97% |
929
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1805
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1807
31.1 IPS |
|
|
Machine Translation (Q)
|
60% |
773
17.2 IPS |
