Acer Swift SF16-51T
Geekbench AI Score
3187
Single Precision Score
2164
Half Precision Score
8324
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 07:20 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SF16-51T |
| Motherboard | LNL Milkfish_LNV |
| Power Plan | Acer |
| 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% |
1902
353.7 IPS |
|
|
Image Classification (HP)
|
100% |
1362
253.3 IPS |
|
|
Image Classification (Q)
|
100% |
5273
980.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1125
18.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5029
81.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3388
3.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
2224
2.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
13036
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1863
147.8 IPS |
|
|
Object Detection (HP)
|
100% |
1278
101.4 IPS |
|
|
Object Detection (Q)
|
88% |
5484
439.6 IPS |
|
|
Face Detection (SP)
|
100% |
5540
65.8 IPS |
|
|
Face Detection (HP)
|
100% |
4369
51.9 IPS |
|
|
Face Detection (Q)
|
100% |
13773
163.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4775
36.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3228
24.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
14097
109.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10109
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
6524
8.39 IPS |
|
|
Style Transfer (Q)
|
98% |
37444
48.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2109
77.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1416
52.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7508
278.0 IPS |
|
|
Text Classification (SP)
|
100% |
2142
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
1400
1.87 KIPS |
|
|
Text Classification (Q)
|
92% |
4390
5.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3499
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2847
49.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3518
60.6 IPS |
