Acer Swift SFG16-72
Geekbench AI Score
7525
Single Precision Score
11865
Half Precision Score
17621
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 02:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Acer Swift SFG16-72 |
| Motherboard | MTL Pipefish_MTH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4888
909.0 IPS |
|
|
Image Classification (HP)
|
100% |
6992
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
8109
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4089
66.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9050
146.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
13843
224.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
21607
25.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
20573
24.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
74253
86.9 IPS |
|
|
Object Detection (SP)
|
100% |
4236
336.0 IPS |
|
|
Object Detection (HP)
|
100% |
7504
595.2 IPS |
|
|
Object Detection (Q)
|
88% |
10276
823.5 IPS |
|
|
Face Detection (SP)
|
100% |
9065
107.7 IPS |
|
|
Face Detection (HP)
|
100% |
18083
214.9 IPS |
|
|
Face Detection (Q)
|
100% |
27960
332.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17018
131.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
31929
246.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
37284
289.8 IPS |
|
|
Style Transfer (SP)
|
100% |
54153
69.6 IPS |
|
|
Style Transfer (HP)
|
100% |
70802
91.0 IPS |
|
|
Style Transfer (Q)
|
98% |
167521
216.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8722
322.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16030
591.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21739
805.1 IPS |
|
|
Text Classification (SP)
|
71% |
1725
2.50 KIPS |
|
|
Text Classification (HP)
|
71% |
2660
3.85 KIPS |
|
|
Text Classification (Q)
|
92% |
2782
3.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2535
43.7 IPS |
|
|
Machine Translation (HP)
|
96% |
3249
56.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3192
55.0 IPS |
