Acer Swift SFG14-74
Geekbench AI Score
10364
Single Precision Score
20990
Half Precision Score
28556
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cfy0713 |
| Upload Date | April 22 2025 01:27 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140T GPU (16GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Acer Swift SFG14-74 |
| Motherboard | ARL Crayfish_ARH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7141
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
10344
1.92 KIPS |
|
|
Image Classification (Q)
|
100% |
16190
3.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9050
146.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17899
290.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24955
404.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
25490
29.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
93000
108.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
182313
213.4 IPS |
|
|
Object Detection (SP)
|
100% |
6400
507.6 IPS |
|
|
Object Detection (HP)
|
100% |
11377
902.4 IPS |
|
|
Object Detection (Q)
|
88% |
16571
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
11245
133.6 IPS |
|
|
Face Detection (HP)
|
100% |
21547
256.0 IPS |
|
|
Face Detection (Q)
|
100% |
32471
385.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19349
149.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
40553
312.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
62787
488.1 IPS |
|
|
Style Transfer (SP)
|
100% |
63601
81.8 IPS |
|
|
Style Transfer (HP)
|
100% |
163700
210.4 IPS |
|
|
Style Transfer (Q)
|
98% |
256207
330.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10415
384.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29499
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35363
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
3135
4.19 KIPS |
|
|
Text Classification (HP)
|
100% |
3924
5.24 KIPS |
|
|
Text Classification (Q)
|
92% |
3084
4.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3003
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5120
88.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5187
89.4 IPS |
