Acer TravelMate P614-54
Geekbench AI Score
2431
Single Precision Score
1258
Half Precision Score
4952
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cfy0713 |
| Upload Date | June 28 2025 06:31 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Acer TravelMate P614-54 |
| Motherboard | LNL Viola_LNV |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1641
305.1 IPS |
|
|
Image Classification (HP)
|
100% |
527
98.0 IPS |
|
|
Image Classification (Q)
|
99% |
4132
770.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1258
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
877
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2473
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3059
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2589
3.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
11818
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1724
136.8 IPS |
|
|
Object Detection (HP)
|
100% |
617
48.9 IPS |
|
|
Object Detection (Q)
|
86% |
4045
325.1 IPS |
|
|
Face Detection (SP)
|
100% |
4895
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
1583
18.8 IPS |
|
|
Face Detection (Q)
|
97% |
6777
80.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4333
33.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1875
14.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
10307
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7716
9.92 IPS |
|
|
Style Transfer (HP)
|
100% |
6376
8.20 IPS |
|
|
Style Transfer (Q)
|
98% |
16650
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1665
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1375
50.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3450
127.7 IPS |
|
|
Text Classification (SP)
|
100% |
1219
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
655
874.0 IPS |
|
|
Text Classification (Q)
|
97% |
1581
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1998
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2867
57.6 IPS |
