Gigabyte Technology Co., Ltd. Z890 UD WIFI6E
Geekbench AI Score
13808
Single Precision Score
20144
Half Precision Score
10233
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 09 2025 07:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6600 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 UD WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 UD WIFI6E |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7631
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
8439
1.57 KIPS |
|
|
Image Classification (Q)
|
100% |
6575
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12000
194.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9006
146.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9645
156.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11214
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
130085
151.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
7331
8.59 IPS |
|
|
Object Detection (SP)
|
100% |
5915
469.2 IPS |
|
|
Object Detection (HP)
|
100% |
8026
636.6 IPS |
|
|
Object Detection (Q)
|
87% |
5289
424.8 IPS |
|
|
Face Detection (SP)
|
100% |
21247
252.5 IPS |
|
|
Face Detection (HP)
|
100% |
27495
326.7 IPS |
|
|
Face Detection (Q)
|
97% |
16320
194.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
38498
296.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
51326
395.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
30826
247.5 IPS |
|
|
Style Transfer (SP)
|
100% |
169149
217.4 IPS |
|
|
Style Transfer (HP)
|
100% |
210583
270.7 IPS |
|
|
Style Transfer (Q)
|
98% |
131575
169.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27234
1.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
32709
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19461
720.6 IPS |
|
|
Text Classification (SP)
|
100% |
2696
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
3301
4.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1817
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4085
70.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4321
74.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2188
41.0 IPS |
