Acer Swift XXXX
Geekbench AI Score
2746
Single Precision Score
1879
Half Precision Score
7131
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 08:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 226V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Swift XXXX |
| Motherboard | LNL Icefish_LNV |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 226V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1654
307.6 IPS |
|
|
Image Classification (HP)
|
100% |
1170
217.6 IPS |
|
|
Image Classification (Q)
|
100% |
4522
841.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1862
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
970
15.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4382
71.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2935
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1953
2.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
11262
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1592
126.3 IPS |
|
|
Object Detection (HP)
|
100% |
1133
89.9 IPS |
|
|
Object Detection (Q)
|
88% |
4565
365.9 IPS |
|
|
Face Detection (SP)
|
100% |
4698
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
3676
43.7 IPS |
|
|
Face Detection (Q)
|
100% |
11609
137.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4088
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2813
21.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
12450
96.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8655
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
5672
7.29 IPS |
|
|
Style Transfer (Q)
|
98% |
31218
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1817
67.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1268
46.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6549
242.5 IPS |
|
|
Text Classification (SP)
|
100% |
1840
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1201
1.60 KIPS |
|
|
Text Classification (Q)
|
92% |
3751
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3057
52.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2450
42.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3013
51.9 IPS |
