Acer Swift SFX16-61G
Geekbench AI Score
5897
Single Precision Score
5978
Half Precision Score
15750
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 27 2025 07:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SFX16-61G |
| Motherboard | PHX Ariya_PEH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3999
743.6 IPS |
|
|
Image Classification (HP)
|
100% |
3879
721.4 IPS |
|
|
Image Classification (Q)
|
100% |
10437
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3856
62.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3965
64.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9957
161.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7924
9.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
7792
9.09 IPS |
|
|
Pose Estimation (Q)
|
98% |
30784
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
3352
265.9 IPS |
|
|
Object Detection (HP)
|
100% |
3309
262.5 IPS |
|
|
Object Detection (Q)
|
88% |
9445
757.1 IPS |
|
|
Face Detection (SP)
|
100% |
6710
79.7 IPS |
|
|
Face Detection (HP)
|
100% |
7054
83.8 IPS |
|
|
Face Detection (Q)
|
100% |
25904
307.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9875
76.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9933
76.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
26760
208.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21947
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21935
28.2 IPS |
|
|
Style Transfer (Q)
|
98% |
84364
108.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4493
165.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4570
168.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16412
607.8 IPS |
|
|
Text Classification (SP)
|
100% |
3948
5.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4103
5.48 KIPS |
|
|
Text Classification (Q)
|
92% |
5788
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4815
82.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5108
88.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5598
96.4 IPS |
