Acer Swift SF16-71T
Geekbench AI Score
4639
Single Precision Score
1836
Half Precision Score
8573
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Maddog54 |
| Upload Date | March 27 2026 05:47 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra X7 358H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SF16-71T |
| Motherboard | PTL ERay_PTW |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra X7 358H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 204 Stepping 2 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3347
622.4 IPS |
|
|
Image Classification (HP)
|
100% |
533
99.1 IPS |
|
|
Image Classification (Q)
|
99% |
7435
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2062
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
867
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11024
179.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8309
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
5746
6.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
27976
32.8 IPS |
|
|
Object Detection (SP)
|
100% |
3434
272.4 IPS |
|
|
Object Detection (HP)
|
100% |
840
66.6 IPS |
|
|
Object Detection (Q)
|
86% |
7602
610.9 IPS |
|
|
Face Detection (SP)
|
100% |
10297
122.4 IPS |
|
|
Face Detection (HP)
|
100% |
1936
23.0 IPS |
|
|
Face Detection (Q)
|
97% |
10568
126.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10285
79.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2708
20.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
16481
131.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19111
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14591
18.8 IPS |
|
|
Style Transfer (Q)
|
98% |
27328
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3211
118.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2600
96.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5721
211.8 IPS |
|
|
Text Classification (SP)
|
100% |
1408
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
838
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1186
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2563
44.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1174
20.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3813
76.6 IPS |
