Acer Swift SFG16-72
Geekbench AI Score
8538
Single Precision Score
13139
Half Precision Score
19708
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 18 2025 07:11 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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% |
5909
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
8345
1.55 KIPS |
|
|
Image Classification (Q)
|
100% |
9187
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4771
77.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12230
198.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18083
293.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24811
28.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
22885
26.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
76360
89.4 IPS |
|
|
Object Detection (SP)
|
100% |
5608
444.8 IPS |
|
|
Object Detection (HP)
|
100% |
8863
703.0 IPS |
|
|
Object Detection (Q)
|
88% |
12944
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
9461
112.4 IPS |
|
|
Face Detection (HP)
|
100% |
18870
224.2 IPS |
|
|
Face Detection (Q)
|
100% |
29831
354.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19147
147.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
34086
263.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
39224
304.9 IPS |
|
|
Style Transfer (SP)
|
100% |
58544
75.3 IPS |
|
|
Style Transfer (HP)
|
100% |
71035
91.3 IPS |
|
|
Style Transfer (Q)
|
98% |
182392
235.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9542
352.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15746
581.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23316
863.5 IPS |
|
|
Text Classification (SP)
|
71% |
1689
2.44 KIPS |
|
|
Text Classification (HP)
|
71% |
2620
3.79 KIPS |
|
|
Text Classification (Q)
|
92% |
2676
3.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3072
52.9 IPS |
|
|
Machine Translation (HP)
|
96% |
3930
68.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4044
69.7 IPS |
