Acer Veriton Vero M6735G
Geekbench AI Score
8328
Single Precision Score
9788
Half Precision Score
14848
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 03:04 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% |
5556
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
6993
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
9705
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7783
126.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2778
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3526
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11571
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34696
40.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
73923
86.6 IPS |
|
|
Object Detection (SP)
|
100% |
5547
440.0 IPS |
|
|
Object Detection (HP)
|
100% |
5964
473.1 IPS |
|
|
Object Detection (Q)
|
87% |
9731
781.0 IPS |
|
|
Face Detection (SP)
|
100% |
14110
167.7 IPS |
|
|
Face Detection (HP)
|
100% |
17407
206.8 IPS |
|
|
Face Detection (Q)
|
100% |
32876
390.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13973
107.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17424
134.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
33228
258.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27914
35.9 IPS |
|
|
Style Transfer (HP)
|
100% |
51538
66.3 IPS |
|
|
Style Transfer (Q)
|
98% |
90609
116.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7801
288.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13972
515.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23026
852.7 IPS |
|
|
Text Classification (SP)
|
100% |
3650
4.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2104
2.81 KIPS |
|
|
Text Classification (Q)
|
92% |
2090
2.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3691
63.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4372
75.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4442
76.5 IPS |
