Acer Swift SFG14-73T
Geekbench AI Score
2443
Single Precision Score
886
Half Precision Score
4471
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 21 2026 10:39 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Swift SFG14-73T |
| Motherboard | MTL Goldfish_MTH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2326
432.6 IPS |
|
|
Image Classification (HP)
|
100% |
364
67.7 IPS |
|
|
Image Classification (Q)
|
99% |
3687
687.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
909
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
508
8.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
4927
80.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4248
4.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
2843
3.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
14991
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1877
148.9 IPS |
|
|
Object Detection (HP)
|
100% |
441
35.0 IPS |
|
|
Object Detection (Q)
|
86% |
4088
328.5 IPS |
|
|
Face Detection (SP)
|
100% |
5784
68.7 IPS |
|
|
Face Detection (HP)
|
100% |
903
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
5816
69.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5360
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1229
9.47 IPS |
|
|
Depth Estimation (Q)
|
78% |
10453
83.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10074
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
6808
8.75 IPS |
|
|
Style Transfer (Q)
|
98% |
14841
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1421
52.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
886
32.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3147
116.5 IPS |
|
|
Text Classification (SP)
|
100% |
870
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
397
529.7 IPS |
|
|
Text Classification (Q)
|
97% |
748
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1165
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
484
8.33 IPS |
|
|
Machine Translation (Q)
|
65% |
1351
27.2 IPS |
