Acer Swift SFG14-73
Geekbench AI Score
7822
Single Precision Score
11849
Half Precision Score
17905
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 06 2025 08:11 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Swift SFG14-73 |
| Motherboard | MTL Goldfish_MTH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5516
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
7264
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
9366
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4648
75.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11668
189.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
17655
286.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
22044
25.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
19594
22.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
66857
78.3 IPS |
|
|
Object Detection (SP)
|
100% |
5253
416.7 IPS |
|
|
Object Detection (HP)
|
100% |
8100
642.5 IPS |
|
|
Object Detection (Q)
|
88% |
11545
925.2 IPS |
|
|
Face Detection (SP)
|
100% |
8927
106.1 IPS |
|
|
Face Detection (HP)
|
100% |
16623
197.5 IPS |
|
|
Face Detection (Q)
|
100% |
26975
320.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19030
146.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
31599
244.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
37373
290.5 IPS |
|
|
Style Transfer (SP)
|
100% |
50515
64.9 IPS |
|
|
Style Transfer (HP)
|
100% |
69063
88.8 IPS |
|
|
Style Transfer (Q)
|
98% |
154689
199.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8634
318.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14942
551.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21786
806.8 IPS |
|
|
Text Classification (SP)
|
71% |
1642
2.37 KIPS |
|
|
Text Classification (HP)
|
71% |
2319
3.35 KIPS |
|
|
Text Classification (Q)
|
92% |
2488
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2374
40.9 IPS |
|
|
Machine Translation (HP)
|
96% |
3227
55.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3140
54.1 IPS |
