Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7
Geekbench AI Score
29716
Single Precision Score
53402
Half Precision Score
22837
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 31 2025 11:24 AM |
| Views | 4 |
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 AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7 |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11563
2.15 KIPS |
|
|
Image Classification (HP)
|
100% |
20678
3.85 KIPS |
|
|
Image Classification (Q)
|
100% |
10508
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22817
369.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
34906
565.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
20466
332.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
164907
192.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
494353
576.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
142091
166.4 IPS |
|
|
Object Detection (SP)
|
100% |
15435
1.22 KIPS |
|
|
Object Detection (HP)
|
100% |
26423
2.10 KIPS |
|
|
Object Detection (Q)
|
83% |
13146
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
42044
499.6 IPS |
|
|
Face Detection (HP)
|
100% |
63320
752.4 IPS |
|
|
Face Detection (Q)
|
97% |
35892
427.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
68461
527.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
140089
1.08 KIPS |
|
|
Depth Estimation (Q)
|
78% |
54647
436.2 IPS |
|
|
Style Transfer (SP)
|
100% |
235649
302.9 IPS |
|
|
Style Transfer (HP)
|
100% |
821383
1.06 KIPS |
|
|
Style Transfer (Q)
|
98% |
198027
255.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42855
1.58 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78645
2.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33996
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
4171
5.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5142
6.86 KIPS |
|
|
Text Classification (Q)
|
97% |
2423
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
6596
113.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6791
117.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3002
56.3 IPS |
