Acer Swift SF14-51T
Geekbench AI Score
8805
Single Precision Score
16926
Half Precision Score
5800
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | EddieMIT |
| Upload Date | September 19 2025 01:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Acer Swift SF14-51T |
| Motherboard | LNL Icefish_LNV |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4681
870.5 IPS |
|
|
Image Classification (HP)
|
100% |
5913
1.10 KIPS |
|
|
Image Classification (Q)
|
100% |
3729
693.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7499
121.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15160
245.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5254
85.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
22584
26.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
110652
129.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
18659
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
5682
450.7 IPS |
|
|
Object Detection (HP)
|
100% |
9971
790.9 IPS |
|
|
Object Detection (Q)
|
88% |
4605
369.3 IPS |
|
|
Face Detection (SP)
|
100% |
10633
126.3 IPS |
|
|
Face Detection (HP)
|
100% |
20289
241.1 IPS |
|
|
Face Detection (Q)
|
97% |
7649
91.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21520
165.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
44452
342.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
14130
112.9 IPS |
|
|
Style Transfer (SP)
|
100% |
58749
75.5 IPS |
|
|
Style Transfer (HP)
|
100% |
189636
243.8 IPS |
|
|
Style Transfer (Q)
|
98% |
39527
51.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10488
387.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19495
719.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5672
210.0 IPS |
|
|
Text Classification (SP)
|
100% |
1292
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1608
2.15 KIPS |
|
|
Text Classification (Q)
|
97% |
767
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3414
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3641
62.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1379
25.9 IPS |
