Acer Veriton Vero M6735G
Geekbench AI Score
8342
Single Precision Score
9732
Half Precision Score
14902
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 02:53 AM |
| Views | 2 |
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% |
5620
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
7000
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
9802
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7888
127.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2795
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3521
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13163
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34592
40.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
74178
86.9 IPS |
|
|
Object Detection (SP)
|
100% |
5409
429.1 IPS |
|
|
Object Detection (HP)
|
100% |
5961
472.8 IPS |
|
|
Object Detection (Q)
|
87% |
9745
782.1 IPS |
|
|
Face Detection (SP)
|
100% |
14577
173.2 IPS |
|
|
Face Detection (HP)
|
100% |
16614
197.4 IPS |
|
|
Face Detection (Q)
|
100% |
32583
387.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13641
105.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17615
135.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
33238
258.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27926
35.9 IPS |
|
|
Style Transfer (HP)
|
100% |
51372
66.0 IPS |
|
|
Style Transfer (Q)
|
98% |
92994
119.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7767
286.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14015
517.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23081
854.8 IPS |
|
|
Text Classification (SP)
|
100% |
3600
4.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2083
2.78 KIPS |
|
|
Text Classification (Q)
|
92% |
2100
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3331
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4305
74.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4437
76.4 IPS |
