Dynabook Inc. PORTEGE X40L-M
Geekbench AI Score
3277
Single Precision Score
2950
Half Precision Score
8539
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 07:11 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255H |
| 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% |
2331
433.4 IPS |
|
|
Image Classification (HP)
|
100% |
1879
349.4 IPS |
|
|
Image Classification (Q)
|
100% |
5730
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3163
51.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1360
22.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6238
101.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3509
4.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
3518
4.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
16543
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2065
163.8 IPS |
|
|
Object Detection (HP)
|
100% |
1839
145.9 IPS |
|
|
Object Detection (Q)
|
88% |
5484
439.6 IPS |
|
|
Face Detection (SP)
|
100% |
5906
70.2 IPS |
|
|
Face Detection (HP)
|
100% |
5844
69.4 IPS |
|
|
Face Detection (Q)
|
100% |
12667
150.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3711
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5130
39.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
14239
110.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10608
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9715
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
46237
59.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2005
74.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1782
65.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8223
304.5 IPS |
|
|
Text Classification (SP)
|
100% |
2269
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
1807
2.41 KIPS |
|
|
Text Classification (Q)
|
92% |
4070
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2534
43.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3227
55.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2278
39.2 IPS |
