MC-80 Liberty CPU OpenVINO Gigabyte Technology Co., Ltd. B660I AORUS PRO DDR4
Geekbench AI Score
5483
Single Precision Score
5304
Half Precision Score
11879
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | chemeya |
| Upload Date | November 04 2025 10:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
3576
665.0 IPS |
|
|
Image Classification (HP)
|
100% |
3436
638.9 IPS |
|
|
Image Classification (Q)
|
100% |
8059
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4210
68.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4376
70.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8258
133.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6447
7.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
6473
7.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
24466
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3251
257.9 IPS |
|
|
Object Detection (HP)
|
100% |
3328
264.0 IPS |
|
|
Object Detection (Q)
|
88% |
7772
623.0 IPS |
|
|
Face Detection (SP)
|
100% |
7868
93.5 IPS |
|
|
Face Detection (HP)
|
100% |
5464
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
10834
128.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8212
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8069
62.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
19968
155.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18916
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19424
25.0 IPS |
|
|
Style Transfer (Q)
|
98% |
66402
85.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4064
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3934
145.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12498
462.8 IPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
3320
4.43 KIPS |
|
|
Text Classification (Q)
|
92% |
5143
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4831
83.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4864
83.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4791
82.5 IPS |
