Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7 ICE
Geekbench AI Score
30500
Single Precision Score
51515
Half Precision Score
23379
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 14 2025 12:50 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| 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 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265KF |
| 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% |
12489
2.32 KIPS |
|
|
Image Classification (HP)
|
100% |
18374
3.42 KIPS |
|
|
Image Classification (Q)
|
100% |
10980
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24021
389.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
33646
545.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
20742
337.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
166849
194.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
643839
751.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
150107
175.8 IPS |
|
|
Object Detection (SP)
|
100% |
14601
1.16 KIPS |
|
|
Object Detection (HP)
|
100% |
23146
1.84 KIPS |
|
|
Object Detection (Q)
|
86% |
12929
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
46742
555.4 IPS |
|
|
Face Detection (HP)
|
100% |
64785
769.8 IPS |
|
|
Face Detection (Q)
|
97% |
38360
457.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
79787
614.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
139360
1.07 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60933
486.6 IPS |
|
|
Style Transfer (SP)
|
100% |
297033
381.8 IPS |
|
|
Style Transfer (HP)
|
100% |
920994
1.18 KIPS |
|
|
Style Transfer (Q)
|
98% |
250063
322.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42378
1.56 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67547
2.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33291
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3363
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4228
5.64 KIPS |
|
|
Text Classification (Q)
|
97% |
2090
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
6038
104.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6017
103.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2714
50.9 IPS |
