Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7 ICE
Geekbench AI Score
6232
Single Precision Score
9258
Half Precision Score
13526
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | takuaaaa991 |
| Upload Date | October 02 2025 09:12 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7 ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7 ICE |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3559
661.8 IPS |
|
|
Image Classification (HP)
|
100% |
6476
1.20 KIPS |
|
|
Image Classification (Q)
|
56% |
5699
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5101
82.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2950
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3943
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7864
9.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
34278
40.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
74975
87.8 IPS |
|
|
Object Detection (SP)
|
100% |
3222
255.6 IPS |
|
|
Object Detection (HP)
|
100% |
5507
436.8 IPS |
|
|
Object Detection (Q)
|
87% |
9515
763.7 IPS |
|
|
Face Detection (SP)
|
100% |
10574
125.6 IPS |
|
|
Face Detection (HP)
|
100% |
15530
184.5 IPS |
|
|
Face Detection (Q)
|
100% |
27442
326.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9592
73.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18879
145.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
35234
274.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23840
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
52862
68.0 IPS |
|
|
Style Transfer (Q)
|
98% |
97440
125.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4665
172.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14104
520.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24977
925.0 IPS |
|
|
Text Classification (SP)
|
100% |
3839
5.12 KIPS |
|
|
Text Classification (HP)
|
100% |
1575
2.10 KIPS |
|
|
Text Classification (Q)
|
92% |
1506
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4442
76.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3729
64.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3610
62.2 IPS |
