Acer Swift SFG14-73T
Geekbench AI Score
2321
Single Precision Score
1034
Half Precision Score
2961
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 06:01 PM |
| Views | 1 |
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 SFG14-73T |
| 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% |
1441
267.9 IPS |
|
|
Image Classification (HP)
|
100% |
371
69.0 IPS |
|
|
Image Classification (Q)
|
99% |
2495
465.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1040
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
693
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2005
32.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4226
4.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
3066
3.58 IPS |
|
|
Pose Estimation (Q)
|
95% |
14791
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1465
116.2 IPS |
|
|
Object Detection (HP)
|
100% |
436
34.6 IPS |
|
|
Object Detection (Q)
|
88% |
1319
105.7 IPS |
|
|
Face Detection (SP)
|
100% |
2845
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
1090
12.9 IPS |
|
|
Face Detection (Q)
|
97% |
3202
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4758
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1444
11.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
5875
47.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10005
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7332
9.43 IPS |
|
|
Style Transfer (Q)
|
98% |
15212
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1984
73.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1409
52.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2738
101.4 IPS |
|
|
Text Classification (SP)
|
100% |
1286
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
518
691.4 IPS |
|
|
Text Classification (Q)
|
97% |
418
560.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1421
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
483
8.33 IPS |
|
|
Machine Translation (Q)
|
60% |
1622
36.2 IPS |
