Dynabook Inc. PORTEGE X40L-M
Geekbench AI Score
9781
Single Precision Score
22321
Half Precision Score
28101
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 07:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140T GPU (8GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dynabook Inc. PORTEGE X40L-M |
| Motherboard | Dynabook Inc. OK0123/0001 |
| Power Plan | dynabook standard |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6820
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
12454
2.32 KIPS |
|
|
Image Classification (Q)
|
100% |
16450
3.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7962
129.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19588
317.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23742
384.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24453
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
95996
112.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
181150
212.1 IPS |
|
|
Object Detection (SP)
|
100% |
6031
478.4 IPS |
|
|
Object Detection (HP)
|
100% |
12968
1.03 KIPS |
|
|
Object Detection (Q)
|
88% |
16454
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
10812
128.5 IPS |
|
|
Face Detection (HP)
|
100% |
23986
285.0 IPS |
|
|
Face Detection (Q)
|
100% |
31623
375.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
19193
147.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
48187
371.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
62493
485.8 IPS |
|
|
Style Transfer (SP)
|
100% |
59085
76.0 IPS |
|
|
Style Transfer (HP)
|
100% |
159326
204.8 IPS |
|
|
Style Transfer (Q)
|
98% |
267446
344.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10203
376.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29647
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35683
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2865
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3777
5.04 KIPS |
|
|
Text Classification (Q)
|
92% |
2778
3.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2793
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4903
84.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5036
86.7 IPS |
