Gigabyte Technology Co., Ltd. Z890 AORUS PRO ICE
Geekbench AI Score
34762
Single Precision Score
57718
Half Precision Score
26635
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 02:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AORUS PRO ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS PRO 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13498
2.51 KIPS |
|
|
Image Classification (HP)
|
100% |
20444
3.80 KIPS |
|
|
Image Classification (Q)
|
100% |
11945
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26265
425.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
35979
583.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
23502
382.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
233097
272.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
686187
800.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
199437
233.6 IPS |
|
|
Object Detection (SP)
|
100% |
17799
1.41 KIPS |
|
|
Object Detection (HP)
|
100% |
26793
2.13 KIPS |
|
|
Object Detection (Q)
|
86% |
15516
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
51622
613.4 IPS |
|
|
Face Detection (HP)
|
100% |
74935
890.4 IPS |
|
|
Face Detection (Q)
|
97% |
42964
512.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
85953
662.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
158406
1.22 KIPS |
|
|
Depth Estimation (Q)
|
78% |
64088
511.8 IPS |
|
|
Style Transfer (SP)
|
100% |
335486
431.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1076930
1.38 KIPS |
|
|
Style Transfer (Q)
|
98% |
293395
378.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52053
1.92 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80210
2.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39488
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
3681
4.91 KIPS |
|
|
Text Classification (HP)
|
100% |
4724
6.31 KIPS |
|
|
Text Classification (Q)
|
97% |
2258
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
6142
105.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6265
107.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2872
53.9 IPS |
