Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7
Geekbench AI Score
31354
Single Precision Score
53268
Half Precision Score
23819
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 26 2025 05:54 AM |
| Views | 2 |
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 |
| 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% |
13453
2.50 KIPS |
|
|
Image Classification (HP)
|
100% |
20293
3.77 KIPS |
|
|
Image Classification (Q)
|
100% |
11806
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20446
331.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
27304
442.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
18712
304.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
170813
199.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
650628
759.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
152343
178.4 IPS |
|
|
Object Detection (SP)
|
100% |
16100
1.28 KIPS |
|
|
Object Detection (HP)
|
100% |
25626
2.03 KIPS |
|
|
Object Detection (Q)
|
86% |
13535
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
44805
532.4 IPS |
|
|
Face Detection (HP)
|
100% |
59859
711.3 IPS |
|
|
Face Detection (Q)
|
97% |
36466
434.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
81768
630.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
148034
1.14 KIPS |
|
|
Depth Estimation (Q)
|
78% |
61780
493.3 IPS |
|
|
Style Transfer (SP)
|
100% |
302067
388.3 IPS |
|
|
Style Transfer (HP)
|
100% |
958535
1.23 KIPS |
|
|
Style Transfer (Q)
|
98% |
255202
329.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46580
1.72 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76059
2.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35608
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
4108
5.48 KIPS |
|
|
Text Classification (HP)
|
100% |
5258
7.02 KIPS |
|
|
Text Classification (Q)
|
97% |
2373
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5733
98.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5862
101.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2657
49.8 IPS |
