Dynabook Inc. dynabook G83/HS
Geekbench AI Score
1255
Single Precision Score
1281
Half Precision Score
3314
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 02 2025 11:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i5-1135G7 @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dynabook Inc. dynabook G83/HS |
| Motherboard | Dynabook Inc. A010D/0001 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 40.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
800
148.7 IPS |
|
|
Image Classification (HP)
|
100% |
777
144.5 IPS |
|
|
Image Classification (Q)
|
100% |
2200
409.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
916
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
919
14.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2347
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1542
1.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1579
1.84 IPS |
|
|
Pose Estimation (Q)
|
96% |
5978
7.00 IPS |
|
|
Object Detection (SP)
|
100% |
774
61.4 IPS |
|
|
Object Detection (HP)
|
100% |
764
60.6 IPS |
|
|
Object Detection (Q)
|
88% |
2003
160.6 IPS |
|
|
Face Detection (SP)
|
100% |
1780
21.1 IPS |
|
|
Face Detection (HP)
|
100% |
1789
21.3 IPS |
|
|
Face Detection (Q)
|
100% |
5310
63.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1885
14.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1921
14.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
4500
35.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3926
5.05 IPS |
|
|
Style Transfer (HP)
|
100% |
4129
5.31 IPS |
|
|
Style Transfer (Q)
|
98% |
15606
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
826
30.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
886
32.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2914
107.9 IPS |
|
|
Text Classification (SP)
|
100% |
820
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
830
1.11 KIPS |
|
|
Text Classification (Q)
|
92% |
1732
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1246
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1329
22.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1375
23.7 IPS |
