Gigabyte Technology Co., Ltd. Z890 AORUS XTREME AI TOP
Geekbench AI Score
29206
Single Precision Score
51148
Half Precision Score
22641
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Alex_B-32 |
| Upload Date | January 04 2026 09:59 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AORUS XTREME AI TOP |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS XTREME AI TOP |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11532
2.14 KIPS |
|
|
Image Classification (HP)
|
100% |
19814
3.68 KIPS |
|
|
Image Classification (Q)
|
100% |
10294
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21830
353.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
32376
524.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
19736
320.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
169403
197.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
499551
582.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
146464
171.6 IPS |
|
|
Object Detection (SP)
|
100% |
14836
1.18 KIPS |
|
|
Object Detection (HP)
|
100% |
24277
1.93 KIPS |
|
|
Object Detection (Q)
|
83% |
12582
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
40672
483.3 IPS |
|
|
Face Detection (HP)
|
100% |
59988
712.8 IPS |
|
|
Face Detection (Q)
|
97% |
34539
411.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
69764
537.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
134108
1.03 KIPS |
|
|
Depth Estimation (Q)
|
78% |
55657
444.2 IPS |
|
|
Style Transfer (SP)
|
100% |
237981
305.9 IPS |
|
|
Style Transfer (HP)
|
100% |
806631
1.04 KIPS |
|
|
Style Transfer (Q)
|
98% |
203410
262.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42028
1.55 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78179
2.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33586
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
4020
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
4876
6.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2447
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
6258
107.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6368
109.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2942
55.2 IPS |
