MC-80 Liberty CPU AI_ONNX Gigabyte Technology Co., Ltd. B660I AORUS PRO DDR4
Geekbench AI Score
4589
Single Precision Score
1783
Half Precision Score
7104
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| User | chemeya |
| Upload Date | November 04 2025 09:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B660I AORUS PRO DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B660I AORUS PRO DDR4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3577
665.1 IPS |
|
|
Image Classification (HP)
|
100% |
682
126.9 IPS |
|
|
Image Classification (Q)
|
99% |
6649
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1284
20.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6780
110.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7227
8.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
4416
5.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
25398
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
3311
262.6 IPS |
|
|
Object Detection (HP)
|
100% |
904
71.7 IPS |
|
|
Object Detection (Q)
|
86% |
6351
510.4 IPS |
|
|
Face Detection (SP)
|
100% |
8856
105.2 IPS |
|
|
Face Detection (HP)
|
100% |
1831
21.8 IPS |
|
|
Face Detection (Q)
|
97% |
10591
126.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9686
74.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2369
18.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
17398
138.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17422
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10895
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25029
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3275
120.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2173
80.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5453
201.9 IPS |
|
|
Text Classification (SP)
|
100% |
1849
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
929
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
572
765.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2509
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
979
16.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3132
62.9 IPS |
