Acer Swift SFG14-73
Geekbench AI Score
3320
Single Precision Score
3320
Half Precision Score
8066
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 11 2025 10:16 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 185H |
| 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% |
1795
333.8 IPS |
|
|
Image Classification (HP)
|
100% |
1855
344.9 IPS |
|
|
Image Classification (Q)
|
100% |
5433
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2554
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2539
41.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5300
85.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4766
5.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
4833
5.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
16178
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
1773
140.7 IPS |
|
|
Object Detection (HP)
|
100% |
1763
139.8 IPS |
|
|
Object Detection (Q)
|
88% |
5424
434.8 IPS |
|
|
Face Detection (SP)
|
100% |
5566
66.1 IPS |
|
|
Face Detection (HP)
|
100% |
5772
68.6 IPS |
|
|
Face Detection (Q)
|
100% |
11870
141.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5141
39.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5220
40.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
13213
102.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13558
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12174
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
40677
52.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2324
85.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2254
83.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8215
304.2 IPS |
|
|
Text Classification (SP)
|
100% |
2070
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2144
2.86 KIPS |
|
|
Text Classification (Q)
|
92% |
3612
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2254
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2292
39.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2440
42.0 IPS |
