Gigabyte Technology Co., Ltd. Z890 AI TOP
Geekbench AI Score
32517
Single Precision Score
43849
Half Precision Score
25455
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 10 2025 03:44 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| 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% |
12109
2.25 KIPS |
|
|
Image Classification (HP)
|
99% |
15687
2.93 KIPS |
|
|
Image Classification (Q)
|
100% |
10280
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17589
285.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20433
331.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
16311
265.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
298177
347.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
497599
580.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
259332
303.8 IPS |
|
|
Object Detection (SP)
|
100% |
15911
1.26 KIPS |
|
|
Object Detection (HP)
|
100% |
20012
1.59 KIPS |
|
|
Object Detection (Q)
|
86% |
13711
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
42947
510.3 IPS |
|
|
Face Detection (HP)
|
100% |
51060
606.7 IPS |
|
|
Face Detection (Q)
|
97% |
37737
449.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
88425
681.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
148700
1.15 KIPS |
|
|
Depth Estimation (Q)
|
77% |
66139
529.0 IPS |
|
|
Style Transfer (SP)
|
100% |
523393
672.8 IPS |
|
|
Style Transfer (HP)
|
100% |
965590
1.24 KIPS |
|
|
Style Transfer (Q)
|
98% |
449210
579.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55685
2.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72958
2.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40825
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
3123
4.17 KIPS |
|
|
Text Classification (HP)
|
99% |
3988
5.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1957
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3785
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3860
66.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2139
40.1 IPS |
