Acer Swift SFG14-73
Geekbench AI Score
2288
Single Precision Score
1030
Half Precision Score
4398
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 28 2025 08:09 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 125H |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1586
295.0 IPS |
|
|
Image Classification (HP)
|
100% |
380
70.7 IPS |
|
|
Image Classification (Q)
|
99% |
2695
502.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
972
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
627
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4320
70.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3423
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2566
2.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
13407
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1624
128.8 IPS |
|
|
Object Detection (HP)
|
100% |
500
39.7 IPS |
|
|
Object Detection (Q)
|
86% |
3754
301.7 IPS |
|
|
Face Detection (SP)
|
100% |
4952
58.8 IPS |
|
|
Face Detection (HP)
|
100% |
1104
13.1 IPS |
|
|
Face Detection (Q)
|
97% |
6143
73.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4734
36.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1407
10.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
9866
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9132
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
6590
8.47 IPS |
|
|
Style Transfer (Q)
|
98% |
14939
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1720
63.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1345
49.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3375
125.0 IPS |
|
|
Text Classification (SP)
|
100% |
948
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
509
679.0 IPS |
|
|
Text Classification (Q)
|
97% |
769
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1318
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (Q)
|
65% |
1969
39.6 IPS |
