Acer Swift SFX16-61G
Geekbench AI Score
2132
Single Precision Score
972
Half Precision Score
4323
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 31 2024 05:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS |
| 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% |
1686
313.6 IPS |
|
|
Image Classification (HP)
|
100% |
350
65.0 IPS |
|
|
Image Classification (Q)
|
99% |
4722
880.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
714
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
468
7.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
2299
37.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3174
3.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
2823
3.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
13513
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
100% |
451
35.8 IPS |
|
|
Object Detection (Q)
|
86% |
4378
351.9 IPS |
|
|
Face Detection (SP)
|
100% |
3880
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
1034
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
6838
81.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4975
38.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1506
11.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
4994
39.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7815
10.0 IPS |
|
|
Style Transfer (HP)
|
100% |
7126
9.16 IPS |
|
|
Style Transfer (Q)
|
98% |
18258
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1333
49.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1280
47.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2385
88.3 IPS |
|
|
Text Classification (SP)
|
100% |
1111
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
510
681.0 IPS |
|
|
Text Classification (Q)
|
97% |
1158
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1442
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
501
8.63 IPS |
|
|
Machine Translation (Q)
|
65% |
2063
41.5 IPS |
