Acer Veriton S2735G
Geekbench AI Score
5643
Single Precision Score
8932
Half Precision Score
13190
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 06:40 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3962
736.7 IPS |
|
|
Image Classification (HP)
|
100% |
6049
1.13 KIPS |
|
|
Image Classification (Q)
|
100% |
7833
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3973
64.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8948
145.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12459
202.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11801
13.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
10872
12.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
35233
41.2 IPS |
|
|
Object Detection (SP)
|
100% |
3543
281.0 IPS |
|
|
Object Detection (HP)
|
100% |
5630
446.6 IPS |
|
|
Object Detection (Q)
|
88% |
9062
726.2 IPS |
|
|
Face Detection (SP)
|
100% |
7624
90.6 IPS |
|
|
Face Detection (HP)
|
100% |
15223
180.9 IPS |
|
|
Face Detection (Q)
|
100% |
23389
277.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12379
95.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
22118
171.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
24836
193.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28935
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
40015
51.4 IPS |
|
|
Style Transfer (Q)
|
98% |
81328
104.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5196
191.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9320
344.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14125
523.1 IPS |
|
|
Text Classification (SP)
|
71% |
1589
2.30 KIPS |
|
|
Text Classification (HP)
|
71% |
2488
3.60 KIPS |
|
|
Text Classification (Q)
|
92% |
2438
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2208
38.0 IPS |
|
|
Machine Translation (HP)
|
96% |
3124
54.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3145
54.2 IPS |
