Acer Swift SFG14-74
Geekbench AI Score
4475
Single Precision Score
3948
Half Precision Score
10835
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cfy0713 |
| Upload Date | April 22 2025 01:18 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| 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% |
2593
482.3 IPS |
|
|
Image Classification (HP)
|
100% |
2313
430.1 IPS |
|
|
Image Classification (Q)
|
100% |
7700
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3907
63.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2184
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8811
142.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6153
7.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
4924
5.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
21809
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
2324
184.4 IPS |
|
|
Object Detection (HP)
|
100% |
2128
168.8 IPS |
|
|
Object Detection (Q)
|
88% |
6889
552.2 IPS |
|
|
Face Detection (SP)
|
100% |
7559
89.8 IPS |
|
|
Face Detection (HP)
|
100% |
7379
87.7 IPS |
|
|
Face Detection (Q)
|
100% |
16794
199.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6707
51.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6067
46.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
17781
138.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19852
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13701
17.6 IPS |
|
|
Style Transfer (Q)
|
98% |
58520
75.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3219
118.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3010
111.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10413
385.6 IPS |
|
|
Text Classification (SP)
|
100% |
2573
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
2356
3.14 KIPS |
|
|
Text Classification (Q)
|
92% |
4651
6.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2671
46.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4000
68.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2585
44.5 IPS |
