Gigabyte Technology Co., Ltd. Z890 AERO G
Geekbench AI Score
47418
Single Precision Score
70017
Half Precision Score
35173
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 13 2025 10:51 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 6000 Blackwell Workstation Edition |
| 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 | 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16474
3.06 KIPS |
|
|
Image Classification (HP)
|
100% |
21981
4.09 KIPS |
|
|
Image Classification (Q)
|
100% |
13828
2.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
36446
590.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
45480
737.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
32864
534.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
399320
465.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
1000409
1.17 KIPS |
|
|
Pose Estimation (Q)
|
96% |
321976
377.1 IPS |
|
|
Object Detection (SP)
|
100% |
22898
1.82 KIPS |
|
|
Object Detection (HP)
|
100% |
29243
2.32 KIPS |
|
|
Object Detection (Q)
|
84% |
19123
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
73962
878.8 IPS |
|
|
Face Detection (HP)
|
100% |
92222
1.10 KIPS |
|
|
Face Detection (Q)
|
97% |
61884
737.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
116528
897.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
187018
1.44 KIPS |
|
|
Depth Estimation (Q)
|
77% |
88132
705.9 IPS |
|
|
Style Transfer (SP)
|
100% |
601386
773.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1701701
2.19 KIPS |
|
|
Style Transfer (Q)
|
98% |
542748
699.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
70329
2.60 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
96124
3.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50338
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
4098
5.47 KIPS |
|
|
Text Classification (HP)
|
100% |
5006
6.68 KIPS |
|
|
Text Classification (Q)
|
97% |
2301
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
7008
120.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6856
118.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3021
56.7 IPS |
