Acer Swift SFG14-73
Geekbench AI Score
8335
Single Precision Score
13303
Half Precision Score
20321
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 11 2025 10:20 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Pro Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SFG14-73 |
| 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% |
5829
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
8602
1.60 KIPS |
|
|
Image Classification (Q)
|
100% |
10391
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4762
77.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12356
200.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
17572
284.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24946
29.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
23193
27.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
83863
98.2 IPS |
|
|
Object Detection (SP)
|
100% |
5346
424.0 IPS |
|
|
Object Detection (HP)
|
100% |
9009
714.6 IPS |
|
|
Object Detection (Q)
|
88% |
12825
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
9735
115.7 IPS |
|
|
Face Detection (HP)
|
100% |
20231
240.4 IPS |
|
|
Face Detection (Q)
|
100% |
32433
385.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19334
149.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
32993
255.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
39472
306.8 IPS |
|
|
Style Transfer (SP)
|
100% |
57386
73.8 IPS |
|
|
Style Transfer (HP)
|
100% |
70703
90.9 IPS |
|
|
Style Transfer (Q)
|
98% |
187353
241.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9223
340.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15496
572.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23756
879.8 IPS |
|
|
Text Classification (SP)
|
71% |
1697
2.46 KIPS |
|
|
Text Classification (HP)
|
71% |
2665
3.85 KIPS |
|
|
Text Classification (Q)
|
92% |
2677
3.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2586
44.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4012
69.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4009
69.3 IPS |
