Acer Veriton S2735G
Geekbench AI Score
6154
Single Precision Score
9836
Half Precision Score
14890
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 06:46 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Acer Veriton S2735G |
| Motherboard | Acer Veriton S2735G |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265 |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3389
630.3 IPS |
|
|
Image Classification (HP)
|
100% |
7053
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
9705
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4874
79.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2800
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3505
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7103
8.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
34644
40.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
73846
86.5 IPS |
|
|
Object Detection (SP)
|
100% |
3655
289.9 IPS |
|
|
Object Detection (HP)
|
100% |
6051
480.0 IPS |
|
|
Object Detection (Q)
|
87% |
9733
781.2 IPS |
|
|
Face Detection (SP)
|
100% |
11048
131.3 IPS |
|
|
Face Detection (HP)
|
100% |
16897
200.8 IPS |
|
|
Face Detection (Q)
|
100% |
33270
395.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9258
71.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18084
139.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
33967
264.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20696
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
52814
67.9 IPS |
|
|
Style Transfer (Q)
|
98% |
93969
121.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4486
165.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14236
525.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23044
853.4 IPS |
|
|
Text Classification (SP)
|
100% |
3595
4.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2048
2.73 KIPS |
|
|
Text Classification (Q)
|
92% |
2059
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
5323
91.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4353
75.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4349
74.9 IPS |
