Razer Blade
Geekbench AI Score
1217
Single Precision Score
597
Half Precision Score
1461
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | cms1 |
| Upload Date | March 02 2025 02:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7700HQ |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Razer Blade |
| Motherboard | Razer Blade |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
848
157.7 IPS |
|
|
Image Classification (HP)
|
100% |
240
44.6 IPS |
|
|
Image Classification (Q)
|
96% |
1352
252.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
545
8.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
348
5.65 IPS |
|
|
Image Segmentation (Q)
|
97% |
674
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1748
2.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
1444
1.68 IPS |
|
|
Pose Estimation (Q)
|
86% |
3290
3.89 IPS |
|
|
Object Detection (SP)
|
100% |
796
63.1 IPS |
|
|
Object Detection (HP)
|
100% |
295
23.4 IPS |
|
|
Object Detection (Q)
|
58% |
873
95.4 IPS |
|
|
Face Detection (SP)
|
100% |
1796
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
636
7.56 IPS |
|
|
Face Detection (Q)
|
96% |
2731
32.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2272
17.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
839
6.46 IPS |
|
|
Depth Estimation (Q)
|
78% |
3340
26.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4576
5.88 IPS |
|
|
Style Transfer (HP)
|
100% |
3413
4.39 IPS |
|
|
Style Transfer (Q)
|
87% |
6047
7.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
831
30.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
696
25.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1178
43.7 IPS |
|
|
Text Classification (SP)
|
100% |
751
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
351
467.9 IPS |
|
|
Text Classification (Q)
|
97% |
256
342.6 IPS |
|
|
Machine Translation (SP)
|
100% |
952
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
368
6.34 IPS |
|
|
Machine Translation (Q)
|
68% |
1024
19.8 IPS |
