Acer Swift SFG14-72
Geekbench AI Score
3410
Single Precision Score
3442
Half Precision Score
8257
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | ciassoc |
| Upload Date | March 10 2026 11:11 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| 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% |
2078
386.5 IPS |
|
|
Image Classification (HP)
|
100% |
2114
393.1 IPS |
|
|
Image Classification (Q)
|
100% |
5234
973.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2518
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2596
42.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5180
84.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3708
4.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
3762
4.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
13759
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1945
154.3 IPS |
|
|
Object Detection (HP)
|
100% |
1947
154.4 IPS |
|
|
Object Detection (Q)
|
88% |
5441
436.2 IPS |
|
|
Face Detection (SP)
|
100% |
5621
66.8 IPS |
|
|
Face Detection (HP)
|
100% |
5610
66.7 IPS |
|
|
Face Detection (Q)
|
100% |
11855
140.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4978
38.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5037
38.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
13191
102.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10965
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11119
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
39263
50.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2291
84.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2312
85.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8220
304.4 IPS |
|
|
Text Classification (SP)
|
100% |
2218
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2246
3.00 KIPS |
|
|
Text Classification (Q)
|
92% |
3999
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3619
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3569
61.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3599
62.0 IPS |
