TOP ACHAT CUSTOM
Geekbench AI Score
9455
Single Precision Score
9815
Half Precision Score
15059
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 01 2025 02:55 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | TOP ACHAT CUSTOM |
| Motherboard | Micro-Star International Co., Ltd. B860M GAMING PLUS WIFI (MS-7E42) |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6190
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
7196
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
9774
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8380
135.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2926
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3918
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14465
16.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
34580
40.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
74470
87.2 IPS |
|
|
Object Detection (SP)
|
100% |
5218
413.9 IPS |
|
|
Object Detection (HP)
|
100% |
5998
475.8 IPS |
|
|
Object Detection (Q)
|
87% |
9814
787.6 IPS |
|
|
Face Detection (SP)
|
100% |
15598
185.3 IPS |
|
|
Face Detection (HP)
|
100% |
16677
198.2 IPS |
|
|
Face Detection (Q)
|
100% |
31325
372.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14380
110.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17881
137.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
33217
258.5 IPS |
|
|
Style Transfer (SP)
|
100% |
40709
52.3 IPS |
|
|
Style Transfer (HP)
|
100% |
50186
64.5 IPS |
|
|
Style Transfer (Q)
|
98% |
93962
121.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8860
327.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13933
514.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23524
871.2 IPS |
|
|
Text Classification (SP)
|
100% |
4321
5.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2094
2.79 KIPS |
|
|
Text Classification (Q)
|
92% |
2101
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4173
71.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4354
75.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4437
76.4 IPS |
