Acer Swift SFG14-72
Geekbench AI Score
9292
Single Precision Score
12716
Half Precision Score
12724
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | ciassoc |
| Upload Date | February 20 2026 11:04 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A750 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | openSUSE Tumbleweed |
| Model | Acer Swift SFG14-72 |
| Motherboard | MTL Coral_MTH |
| 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 | 4.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4168
775.2 IPS |
|
|
Image Classification (HP)
|
100% |
5052
939.4 IPS |
|
|
Image Classification (Q)
|
100% |
4848
901.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6200
100.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6979
113.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7064
114.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
62656
73.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
154911
180.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
192226
225.0 IPS |
|
|
Object Detection (SP)
|
100% |
3586
284.4 IPS |
|
|
Object Detection (HP)
|
100% |
5222
414.2 IPS |
|
|
Object Detection (Q)
|
88% |
5509
441.4 IPS |
|
|
Face Detection (SP)
|
100% |
12643
150.2 IPS |
|
|
Face Detection (HP)
|
100% |
14134
167.9 IPS |
|
|
Face Detection (Q)
|
100% |
15657
186.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21848
168.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
37601
289.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
37723
293.2 IPS |
|
|
Style Transfer (SP)
|
100% |
152654
196.2 IPS |
|
|
Style Transfer (HP)
|
100% |
227687
292.7 IPS |
|
|
Style Transfer (Q)
|
98% |
253195
326.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14519
536.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19042
703.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17960
665.1 IPS |
|
|
Text Classification (SP)
|
100% |
1521
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
1335
1.78 KIPS |
|
|
Text Classification (Q)
|
92% |
888
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
888
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1260
21.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1287
22.2 IPS |
