Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7
Geekbench AI Score
24768
Single Precision Score
44777
Half Precision Score
19031
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 01:54 PM |
| Views | 3 |
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. Z890M AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225F |
| Topology | 1 Processor, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9280
1.73 KIPS |
|
|
Image Classification (HP)
|
100% |
16214
3.02 KIPS |
|
|
Image Classification (Q)
|
100% |
8382
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20351
329.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
31607
512.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
17625
286.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
145006
169.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
432609
504.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
123545
144.7 IPS |
|
|
Object Detection (SP)
|
100% |
12819
1.02 KIPS |
|
|
Object Detection (HP)
|
100% |
20906
1.66 KIPS |
|
|
Object Detection (Q)
|
83% |
11335
915.8 IPS |
|
|
Face Detection (SP)
|
100% |
37278
442.9 IPS |
|
|
Face Detection (HP)
|
100% |
53865
640.0 IPS |
|
|
Face Detection (Q)
|
97% |
30359
362.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
59673
459.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
115826
892.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
47326
377.7 IPS |
|
|
Style Transfer (SP)
|
100% |
200402
257.6 IPS |
|
|
Style Transfer (HP)
|
100% |
772683
993.3 IPS |
|
|
Style Transfer (Q)
|
98% |
175107
225.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35385
1.31 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70879
2.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28175
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3036
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3818
5.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1903
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5169
89.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5359
92.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2234
41.9 IPS |
