Dynabook Inc. TECRA A50-J
Geekbench AI Score
549
Single Precision Score
268
Half Precision Score
969
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | absolutzombie |
| Upload Date | January 29 2026 03:11 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dynabook Inc. TECRA A50-J |
| Motherboard | Dynabook Inc. A010E/0000 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
452
84.0 IPS |
|
|
Image Classification (HP)
|
100% |
130
24.3 IPS |
|
|
Image Classification (Q)
|
99% |
1067
199.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
367
5.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
207
3.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
827
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
889
1.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
747
0.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
3124
3.66 IPS |
|
|
Object Detection (SP)
|
100% |
466
37.0 IPS |
|
|
Object Detection (HP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (Q)
|
86% |
966
77.7 IPS |
|
|
Face Detection (SP)
|
100% |
1242
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
408
4.84 IPS |
|
|
Face Detection (Q)
|
97% |
1880
22.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1199
9.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
485
3.74 IPS |
|
|
Depth Estimation (Q)
|
78% |
2777
22.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2286
2.94 IPS |
|
|
Style Transfer (HP)
|
100% |
1692
2.17 IPS |
|
|
Style Transfer (Q)
|
98% |
2607
3.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
221
8.15 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
187
6.89 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
664
24.6 IPS |
|
|
Text Classification (SP)
|
100% |
177
236.7 IPS |
|
|
Text Classification (HP)
|
100% |
86
114.3 IPS |
|
|
Text Classification (Q)
|
97% |
77
103.1 IPS |
|
|
Machine Translation (SP)
|
100% |
276
4.76 IPS |
|
|
Machine Translation (HP)
|
100% |
108
1.85 IPS |
|
|
Machine Translation (Q)
|
65% |
394
7.92 IPS |
