Acer Veriton Vero M6735G
Geekbench AI Score
8443
Single Precision Score
9778
Half Precision Score
14858
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 03:08 AM |
| Views | 3 |
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 Vero M6735G |
| Motherboard | Acer Veriton Vero M6735G |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285 |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5570
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
7059
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
9787
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7921
128.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2786
45.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3518
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13156
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34777
40.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
74749
87.6 IPS |
|
|
Object Detection (SP)
|
100% |
5571
441.9 IPS |
|
|
Object Detection (HP)
|
100% |
5954
472.2 IPS |
|
|
Object Detection (Q)
|
87% |
9863
791.6 IPS |
|
|
Face Detection (SP)
|
100% |
14424
171.4 IPS |
|
|
Face Detection (HP)
|
100% |
17059
202.7 IPS |
|
|
Face Detection (Q)
|
100% |
33221
394.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13715
105.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17362
133.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
31816
247.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27922
35.9 IPS |
|
|
Style Transfer (HP)
|
100% |
51406
66.1 IPS |
|
|
Style Transfer (Q)
|
98% |
91146
117.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7900
291.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14031
518.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23183
858.6 IPS |
|
|
Text Classification (SP)
|
100% |
3657
4.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2101
2.80 KIPS |
|
|
Text Classification (Q)
|
92% |
2093
2.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3570
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4372
75.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4421
76.2 IPS |
