Acer TravelMate P614-54
Geekbench AI Score
10578
Single Precision Score
26481
Half Precision Score
28762
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cfy0713 |
| Upload Date | June 28 2025 06:43 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| 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% |
7484
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
14142
2.63 KIPS |
|
|
Image Classification (Q)
|
100% |
16185
3.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9618
155.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23722
384.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
28387
460.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
21790
25.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
137649
160.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
251535
294.5 IPS |
|
|
Object Detection (SP)
|
100% |
6624
525.4 IPS |
|
|
Object Detection (HP)
|
100% |
15188
1.20 KIPS |
|
|
Object Detection (Q)
|
88% |
14822
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
13961
165.9 IPS |
|
|
Face Detection (HP)
|
100% |
29971
356.1 IPS |
|
|
Face Detection (Q)
|
100% |
36462
433.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
24105
185.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
60390
465.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
66568
517.7 IPS |
|
|
Style Transfer (SP)
|
100% |
49727
63.9 IPS |
|
|
Style Transfer (HP)
|
100% |
156687
201.4 IPS |
|
|
Style Transfer (Q)
|
98% |
166114
214.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9771
360.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28733
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30089
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3389
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5001
6.68 KIPS |
|
|
Text Classification (Q)
|
92% |
3122
4.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3048
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5933
102.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5973
102.9 IPS |
