MAXSUN MS-iCraft Z890 Pacific
Geekbench AI Score
8743
Single Precision Score
9000
Half Precision Score
15291
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 01 2024 07:45 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MAXSUN MS-iCraft Z890 Pacific |
| Motherboard | MAXSUN MS-iCraft Z890 Pacific |
| Power Plan | High performance |
| 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% |
6223
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
6311
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
10406
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6496
105.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6437
104.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6923
112.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15763
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15802
18.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
33635
39.4 IPS |
|
|
Object Detection (SP)
|
100% |
5807
460.6 IPS |
|
|
Object Detection (HP)
|
100% |
5857
464.6 IPS |
|
|
Object Detection (Q)
|
88% |
11041
885.0 IPS |
|
|
Face Detection (SP)
|
100% |
16851
200.2 IPS |
|
|
Face Detection (HP)
|
100% |
16838
200.1 IPS |
|
|
Face Detection (Q)
|
100% |
28024
333.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16140
124.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16106
124.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
31443
244.5 IPS |
|
|
Style Transfer (SP)
|
100% |
44701
57.5 IPS |
|
|
Style Transfer (HP)
|
100% |
44517
57.2 IPS |
|
|
Style Transfer (Q)
|
98% |
95141
122.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9374
346.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9279
342.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17800
659.2 IPS |
|
|
Text Classification (SP)
|
100% |
2149
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2224
2.97 KIPS |
|
|
Text Classification (Q)
|
92% |
4838
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2883
49.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3725
64.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3619
62.3 IPS |
