Dynabook Inc. dynabook G83/HS
Geekbench AI Score
10089
Single Precision Score
14938
Half Precision Score
7530
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 08:05 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| 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% |
3918
728.6 IPS |
|
|
Image Classification (HP)
|
99% |
5709
1.06 KIPS |
|
|
Image Classification (Q)
|
99% |
3101
578.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5173
83.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6326
102.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4630
75.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
66899
78.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
161279
188.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
56166
65.8 IPS |
|
|
Object Detection (SP)
|
100% |
4983
395.2 IPS |
|
|
Object Detection (HP)
|
100% |
6914
548.4 IPS |
|
|
Object Detection (Q)
|
84% |
4062
327.6 IPS |
|
|
Face Detection (SP)
|
100% |
11206
133.2 IPS |
|
|
Face Detection (HP)
|
100% |
14608
173.6 IPS |
|
|
Face Detection (Q)
|
97% |
9585
114.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
30547
235.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
49646
383.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
21758
174.2 IPS |
|
|
Style Transfer (SP)
|
100% |
108361
139.3 IPS |
|
|
Style Transfer (HP)
|
100% |
239128
307.4 IPS |
|
|
Style Transfer (Q)
|
98% |
87781
113.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16934
625.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24890
919.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11409
422.5 IPS |
|
|
Text Classification (SP)
|
100% |
1633
2.18 KIPS |
|
|
Text Classification (HP)
|
99% |
2005
2.68 KIPS |
|
|
Text Classification (Q)
|
97% |
936
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1577
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1588
27.4 IPS |
|
|
Machine Translation (Q)
|
70% |
916
17.2 IPS |
