ASUSTeK Computer Inc. N75SF
Geekbench AI Score
601
Single Precision Score
321
Half Precision Score
617
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| Upload Date | September 19 2025 12:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-2630QM |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | ASUSTeK Computer Inc. N75SF |
| Motherboard | ASUSTeK Computer Inc. N75SF |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | Intel Core i7-2630QM |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
368
68.5 IPS |
|
|
Image Classification (HP)
|
100% |
145
27.0 IPS |
|
|
Image Classification (Q)
|
96% |
437
81.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
306
4.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
209
3.39 IPS |
|
|
Image Segmentation (Q)
|
97% |
533
8.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
750
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
570
0.66 IPS |
|
|
Pose Estimation (Q)
|
86% |
811
0.96 IPS |
|
|
Object Detection (SP)
|
100% |
412
32.7 IPS |
|
|
Object Detection (HP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (Q)
|
58% |
313
34.2 IPS |
|
|
Face Detection (SP)
|
100% |
1069
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
420
4.99 IPS |
|
|
Face Detection (Q)
|
96% |
917
10.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
972
7.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
440
3.39 IPS |
|
|
Depth Estimation (Q)
|
78% |
941
7.49 IPS |
|
|
Style Transfer (SP)
|
100% |
1868
2.40 IPS |
|
|
Style Transfer (HP)
|
100% |
1492
1.92 IPS |
|
|
Style Transfer (Q)
|
87% |
1809
2.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
425
15.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
314
11.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
452
16.7 IPS |
|
|
Text Classification (SP)
|
100% |
425
567.3 IPS |
|
|
Text Classification (HP)
|
100% |
197
262.4 IPS |
|
|
Text Classification (Q)
|
97% |
333
446.0 IPS |
|
|
Machine Translation (SP)
|
100% |
511
8.80 IPS |
|
|
Machine Translation (HP)
|
100% |
227
3.90 IPS |
|
|
Machine Translation (Q)
|
68% |
582
11.2 IPS |
