ASUSTeK COMPUTER INC. G11CD
Geekbench AI Score
1743
Single Precision Score
843
Half Precision Score
2351
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | February 07 2026 03:36 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-6700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. G11CD |
| Motherboard | ASUSTeK COMPUTER INC. G11CD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1253
233.0 IPS |
|
|
Image Classification (HP)
|
100% |
309
57.5 IPS |
|
|
Image Classification (Q)
|
96% |
1701
317.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
740
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
480
7.78 IPS |
|
|
Image Segmentation (Q)
|
97% |
2101
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2647
3.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
2162
2.52 IPS |
|
|
Pose Estimation (Q)
|
86% |
4353
5.15 IPS |
|
|
Object Detection (SP)
|
100% |
1268
100.6 IPS |
|
|
Object Detection (HP)
|
100% |
398
31.5 IPS |
|
|
Object Detection (Q)
|
58% |
1282
140.1 IPS |
|
|
Face Detection (SP)
|
100% |
2363
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
861
10.2 IPS |
|
|
Face Detection (Q)
|
96% |
3363
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3341
25.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1150
8.86 IPS |
|
|
Depth Estimation (Q)
|
78% |
4295
34.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6491
8.34 IPS |
|
|
Style Transfer (HP)
|
100% |
4872
6.26 IPS |
|
|
Style Transfer (Q)
|
87% |
7616
9.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1199
44.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1074
39.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1962
72.7 IPS |
|
|
Text Classification (SP)
|
100% |
1009
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
534
712.3 IPS |
|
|
Text Classification (Q)
|
97% |
839
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1344
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
518
8.92 IPS |
|
|
Machine Translation (Q)
|
68% |
1434
27.7 IPS |
