Gigabyte Technology Co., Ltd. Z890 AERO G
Geekbench AI Score
6989
Single Precision Score
2351
Half Precision Score
10761
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | otze54 |
| Upload Date | April 21 2025 05:18 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AERO G |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AERO G |
| Power Plan | Ausbalanciert |
| 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% |
5185
964.3 IPS |
|
|
Image Classification (HP)
|
100% |
832
154.8 IPS |
|
|
Image Classification (Q)
|
99% |
9250
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2653
43.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5141
83.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14625
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
7262
8.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
44377
52.0 IPS |
|
|
Object Detection (SP)
|
100% |
5043
400.0 IPS |
|
|
Object Detection (HP)
|
100% |
866
68.7 IPS |
|
|
Object Detection (Q)
|
86% |
12434
999.3 IPS |
|
|
Face Detection (SP)
|
100% |
14187
168.6 IPS |
|
|
Face Detection (HP)
|
100% |
2539
30.2 IPS |
|
|
Face Detection (Q)
|
97% |
14625
174.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17850
137.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2968
22.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
27580
220.1 IPS |
|
|
Style Transfer (SP)
|
100% |
35121
45.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20229
26.0 IPS |
|
|
Style Transfer (Q)
|
98% |
33202
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4497
166.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3108
114.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6511
241.1 IPS |
|
|
Text Classification (SP)
|
100% |
1979
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
1070
1.43 KIPS |
|
|
Text Classification (Q)
|
97% |
1833
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3464
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1278
22.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4969
99.8 IPS |
