Dynabook Inc. dynabook G83/HS
Geekbench AI Score
12250
Single Precision Score
16998
Half Precision Score
10498
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 03:20 PM |
| Views | 2 |
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% |
4637
862.3 IPS |
|
|
Image Classification (HP)
|
99% |
6948
1.30 KIPS |
|
|
Image Classification (Q)
|
99% |
4561
850.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5743
93.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6296
102.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5519
89.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
97476
113.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
239215
279.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
87508
102.5 IPS |
|
|
Object Detection (SP)
|
100% |
5832
462.6 IPS |
|
|
Object Detection (HP)
|
100% |
7711
611.6 IPS |
|
|
Object Detection (Q)
|
85% |
5419
436.3 IPS |
|
|
Face Detection (SP)
|
100% |
13751
163.4 IPS |
|
|
Face Detection (HP)
|
100% |
17179
204.1 IPS |
|
|
Face Detection (Q)
|
97% |
12703
151.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
35251
271.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
60489
467.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
30034
241.2 IPS |
|
|
Style Transfer (SP)
|
100% |
162081
208.4 IPS |
|
|
Style Transfer (HP)
|
100% |
317001
407.5 IPS |
|
|
Style Transfer (Q)
|
98% |
145852
188.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23223
857.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28759
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18208
674.2 IPS |
|
|
Text Classification (SP)
|
100% |
1717
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1608
2.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1248
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1605
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1639
28.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1078
20.2 IPS |
