Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 ICE
Geekbench AI Score
2889
Single Precision Score
2789
Half Precision Score
2127
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | dolpa_me |
| Upload Date | March 06 2026 07:03 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core Ultra 7 265KF |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.4 LTS |
| Model | Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 ICE |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265KF |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 5.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 46.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2830
526.2 IPS |
|
|
Image Classification (HP)
|
100% |
2775
516.0 IPS |
|
|
Image Classification (Q)
|
99% |
1803
336.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4056
65.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2158
35.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1195
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4379
5.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
4458
5.20 IPS |
|
|
Pose Estimation (Q)
|
96% |
6448
7.55 IPS |
|
|
Object Detection (SP)
|
100% |
2730
216.5 IPS |
|
|
Object Detection (HP)
|
100% |
2282
181.0 IPS |
|
|
Object Detection (Q)
|
85% |
1764
142.0 IPS |
|
|
Face Detection (SP)
|
100% |
2987
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
3508
41.7 IPS |
|
|
Face Detection (Q)
|
97% |
3290
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3364
25.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2867
22.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2980
27.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5055
6.50 IPS |
|
|
Style Transfer (HP)
|
100% |
4875
6.27 IPS |
|
|
Style Transfer (Q)
|
98% |
9114
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2579
95.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2480
91.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1868
69.2 IPS |
|
|
Text Classification (SP)
|
100% |
1525
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
1456
1.94 KIPS |
|
|
Text Classification (Q)
|
92% |
940
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1480
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2641
45.5 IPS |
|
|
Machine Translation (Q)
|
58% |
493
11.6 IPS |
