Gigabyte Technology Co., Ltd. Z890 AORUS ELITE X ICE
Geekbench AI Score
6434
Single Precision Score
2357
Half Precision Score
9743
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 24 2024 12:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE X ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE X ICE |
| Power Plan | High performance |
| 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% |
5107
949.7 IPS |
|
|
Image Classification (HP)
|
100% |
615
114.5 IPS |
|
|
Image Classification (Q)
|
99% |
8927
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2442
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4210
68.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13574
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
7985
9.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
46102
54.1 IPS |
|
|
Object Detection (SP)
|
100% |
4850
384.7 IPS |
|
|
Object Detection (HP)
|
100% |
1091
86.6 IPS |
|
|
Object Detection (Q)
|
86% |
11423
918.1 IPS |
|
|
Face Detection (SP)
|
100% |
12290
146.0 IPS |
|
|
Face Detection (HP)
|
100% |
2518
29.9 IPS |
|
|
Face Detection (Q)
|
97% |
12992
154.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14347
110.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3454
26.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
23045
183.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30731
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20205
26.0 IPS |
|
|
Style Transfer (Q)
|
98% |
30038
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4869
179.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3620
133.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6655
246.4 IPS |
|
|
Text Classification (SP)
|
100% |
1919
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
909
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1757
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2926
50.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1124
19.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3707
74.5 IPS |
