Dynabook Inc. dynabook G83/HS
Geekbench AI Score
12118
Single Precision Score
16576
Half Precision Score
10275
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 03:34 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4310
801.5 IPS |
|
|
Image Classification (HP)
|
99% |
6799
1.27 KIPS |
|
|
Image Classification (Q)
|
99% |
4288
799.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5644
91.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6092
98.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5416
88.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
97697
114.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
232614
271.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
86918
101.8 IPS |
|
|
Object Detection (SP)
|
100% |
6068
481.3 IPS |
|
|
Object Detection (HP)
|
100% |
7552
599.0 IPS |
|
|
Object Detection (Q)
|
85% |
5176
416.7 IPS |
|
|
Face Detection (SP)
|
100% |
13413
159.4 IPS |
|
|
Face Detection (HP)
|
100% |
16698
198.4 IPS |
|
|
Face Detection (Q)
|
97% |
12626
150.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
34445
265.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
57550
444.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
29406
236.1 IPS |
|
|
Style Transfer (SP)
|
100% |
159461
205.0 IPS |
|
|
Style Transfer (HP)
|
100% |
293948
377.9 IPS |
|
|
Style Transfer (Q)
|
98% |
145645
187.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22851
843.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31159
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17739
656.9 IPS |
|
|
Text Classification (SP)
|
100% |
1795
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1536
2.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1228
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1567
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1592
27.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1066
20.0 IPS |
