Gigabyte Technology Co., Ltd. Z890 AI TOP
Geekbench AI Score
8912
Single Precision Score
8737
Half Precision Score
12717
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 05:01 PM |
| 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 | Gigabyte Technology Co., Ltd. Z890 AI TOP |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AI TOP |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5912
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
6015
1.12 KIPS |
|
|
Image Classification (Q)
|
56% |
5581
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7714
125.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2568
41.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3375
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14372
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
33313
38.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
71798
84.1 IPS |
|
|
Object Detection (SP)
|
100% |
5036
399.5 IPS |
|
|
Object Detection (HP)
|
100% |
5113
405.6 IPS |
|
|
Object Detection (Q)
|
87% |
8455
678.6 IPS |
|
|
Face Detection (SP)
|
100% |
14738
175.1 IPS |
|
|
Face Detection (HP)
|
100% |
13748
163.4 IPS |
|
|
Face Detection (Q)
|
100% |
23852
283.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14767
113.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16432
126.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
30526
237.5 IPS |
|
|
Style Transfer (SP)
|
100% |
41581
53.5 IPS |
|
|
Style Transfer (HP)
|
100% |
46785
60.1 IPS |
|
|
Style Transfer (Q)
|
98% |
84090
108.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8394
310.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13406
495.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24155
894.6 IPS |
|
|
Text Classification (SP)
|
100% |
4035
5.39 KIPS |
|
|
Text Classification (HP)
|
100% |
2238
2.99 KIPS |
|
|
Text Classification (Q)
|
92% |
2188
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3127
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3109
53.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2992
51.5 IPS |
