Dynabook Inc. dynabook P1-V8PP-BB
Geekbench AI Score
7750
Single Precision Score
7912
Half Precision Score
6491
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 06:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A770 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dynabook Inc. dynabook P1-V8PP-BB |
| Motherboard | Dynabook Inc. A010C/0000 |
| 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% |
2722
506.3 IPS |
|
|
Image Classification (HP)
|
100% |
2766
514.5 IPS |
|
|
Image Classification (Q)
|
99% |
2476
461.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4072
66.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4986
80.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3854
62.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
74858
87.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
74981
87.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
61286
71.8 IPS |
|
|
Object Detection (SP)
|
100% |
4024
319.2 IPS |
|
|
Object Detection (HP)
|
99% |
4032
320.8 IPS |
|
|
Object Detection (Q)
|
85% |
3664
294.9 IPS |
|
|
Face Detection (SP)
|
100% |
10470
124.4 IPS |
|
|
Face Detection (HP)
|
100% |
10490
124.6 IPS |
|
|
Face Detection (Q)
|
97% |
9028
107.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
24021
185.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
24156
186.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
19792
158.4 IPS |
|
|
Style Transfer (SP)
|
100% |
144626
185.9 IPS |
|
|
Style Transfer (HP)
|
100% |
133550
171.7 IPS |
|
|
Style Transfer (Q)
|
98% |
111255
143.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12012
443.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14429
532.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9892
366.3 IPS |
|
|
Text Classification (SP)
|
86% |
479
647.3 IPS |
|
|
Text Classification (HP)
|
100% |
449
599.9 IPS |
|
|
Text Classification (Q)
|
84% |
419
568.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1119
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1052
18.1 IPS |
|
|
Machine Translation (Q)
|
70% |
753
14.1 IPS |
