Gigabyte Technology Co., Ltd. Z890 UD WIFI6E
Geekbench AI Score
27825
Single Precision Score
48231
Half Precision Score
21683
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | January 04 2026 09:49 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| 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 | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10095
1.88 KIPS |
|
|
Image Classification (HP)
|
100% |
16883
3.14 KIPS |
|
|
Image Classification (Q)
|
100% |
9196
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21504
348.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
32040
519.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
19172
311.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
158725
185.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
465476
543.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
135182
158.3 IPS |
|
|
Object Detection (SP)
|
100% |
13851
1.10 KIPS |
|
|
Object Detection (HP)
|
100% |
22120
1.75 KIPS |
|
|
Object Detection (Q)
|
83% |
11831
955.9 IPS |
|
|
Face Detection (SP)
|
100% |
39868
473.7 IPS |
|
|
Face Detection (HP)
|
100% |
59354
705.3 IPS |
|
|
Face Detection (Q)
|
97% |
34552
412.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
68520
527.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
128857
992.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
54676
436.4 IPS |
|
|
Style Transfer (SP)
|
100% |
231051
297.0 IPS |
|
|
Style Transfer (HP)
|
100% |
772353
992.9 IPS |
|
|
Style Transfer (Q)
|
98% |
199948
257.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40375
1.49 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73316
2.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32339
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3552
4.74 KIPS |
|
|
Text Classification (HP)
|
100% |
4343
5.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2253
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
6441
110.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6503
112.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2961
55.5 IPS |
