Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7
Geekbench AI Score
35744
Single Precision Score
59436
Half Precision Score
27116
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 20 2025 01:34 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7 |
| Power Plan | Balanced |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14020
2.61 KIPS |
|
|
Image Classification (HP)
|
100% |
20225
3.76 KIPS |
|
|
Image Classification (Q)
|
100% |
12112
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27189
440.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
38458
623.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
24569
399.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
234254
273.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
675867
788.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
199417
233.6 IPS |
|
|
Object Detection (SP)
|
100% |
18866
1.50 KIPS |
|
|
Object Detection (HP)
|
100% |
27655
2.19 KIPS |
|
|
Object Detection (Q)
|
86% |
16260
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
54407
646.5 IPS |
|
|
Face Detection (HP)
|
100% |
81261
965.6 IPS |
|
|
Face Detection (Q)
|
97% |
44342
528.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
87887
677.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
165820
1.28 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65684
524.5 IPS |
|
|
Style Transfer (SP)
|
100% |
331595
426.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1091573
1.40 KIPS |
|
|
Style Transfer (Q)
|
98% |
292084
376.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52591
1.94 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80233
2.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40153
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
3564
4.76 KIPS |
|
|
Text Classification (HP)
|
100% |
4708
6.28 KIPS |
|
|
Text Classification (Q)
|
97% |
2194
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
6800
117.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6812
117.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2972
55.7 IPS |
