Maxsun MS-Terminator Z890-A
Geekbench AI Score
4194
Single Precision Score
4189
Half Precision Score
3213
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 05:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1060 3GB |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Maxsun MS-Terminator Z890-A |
| Motherboard | Maxsun MS-Terminator Z890-A |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245KF |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
968
179.9 IPS |
|
|
Image Classification (HP)
|
100% |
1851
344.2 IPS |
|
|
Image Classification (Q)
|
99% |
892
166.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2492
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2322
37.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2157
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
28350
33.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14696
17.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
22848
26.8 IPS |
|
|
Object Detection (SP)
|
100% |
1349
107.0 IPS |
|
|
Object Detection (HP)
|
100% |
2102
166.7 IPS |
|
|
Object Detection (Q)
|
83% |
1200
96.9 IPS |
|
|
Face Detection (SP)
|
100% |
2725
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
3991
47.4 IPS |
|
|
Face Detection (Q)
|
97% |
2415
28.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9307
71.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9185
71.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
7352
58.7 IPS |
|
|
Style Transfer (SP)
|
100% |
44344
57.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27109
34.8 IPS |
|
|
Style Transfer (Q)
|
98% |
36123
46.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9213
340.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6320
233.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5809
215.1 IPS |
|
|
Text Classification (SP)
|
100% |
1214
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
1410
1.88 KIPS |
|
|
Text Classification (Q)
|
97% |
744
997.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1451
25.0 IPS |
|
|
Machine Translation (HP)
|
96% |
1418
24.5 IPS |
|
|
Machine Translation (Q)
|
70% |
802
15.0 IPS |
