Acer Swift SFG14-73T
Geekbench AI Score
8043
Single Precision Score
12730
Half Precision Score
19658
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 07:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Swift SFG14-73T |
| Motherboard | MTL Goldfish_MTH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5687
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
8511
1.58 KIPS |
|
|
Image Classification (Q)
|
100% |
10249
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4651
75.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11461
185.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
17849
289.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
22656
26.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
22418
26.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
74671
87.4 IPS |
|
|
Object Detection (SP)
|
100% |
5331
422.9 IPS |
|
|
Object Detection (HP)
|
100% |
8651
686.2 IPS |
|
|
Object Detection (Q)
|
88% |
12251
981.8 IPS |
|
|
Face Detection (SP)
|
100% |
8721
103.6 IPS |
|
|
Face Detection (HP)
|
100% |
18654
221.7 IPS |
|
|
Face Detection (Q)
|
100% |
31470
373.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18907
145.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
31484
243.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
37077
288.2 IPS |
|
|
Style Transfer (SP)
|
100% |
54837
70.5 IPS |
|
|
Style Transfer (HP)
|
100% |
70400
90.5 IPS |
|
|
Style Transfer (Q)
|
98% |
179093
230.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8950
330.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15464
571.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22790
844.0 IPS |
|
|
Text Classification (SP)
|
71% |
1672
2.42 KIPS |
|
|
Text Classification (HP)
|
71% |
2484
3.59 KIPS |
|
|
Text Classification (Q)
|
92% |
2732
3.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2622
45.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3722
64.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3959
68.4 IPS |
