Gigabyte Technology Co., Ltd. B660 DS3H AX DDR4
Geekbench AI Score
4752
Single Precision Score
1426
Half Precision Score
7457
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Deimorin |
| Upload Date | January 16 2025 03:41 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B660 DS3H AX DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B660 DS3H AX DDR4 |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4145
770.8 IPS |
|
|
Image Classification (HP)
|
100% |
517
96.1 IPS |
|
|
Image Classification (Q)
|
99% |
6503
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1890
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
874
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4046
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9818
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
3775
4.40 IPS |
|
|
Pose Estimation (Q)
|
94% |
32635
38.3 IPS |
|
|
Object Detection (SP)
|
100% |
3168
251.3 IPS |
|
|
Object Detection (HP)
|
100% |
703
55.8 IPS |
|
|
Object Detection (Q)
|
86% |
7176
576.7 IPS |
|
|
Face Detection (SP)
|
100% |
8543
101.5 IPS |
|
|
Face Detection (HP)
|
100% |
1519
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
11348
135.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10801
83.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1905
14.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
17657
140.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22001
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9487
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
17851
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3755
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1831
67.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6076
225.0 IPS |
|
|
Text Classification (SP)
|
100% |
1615
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
747
996.6 IPS |
|
|
Text Classification (Q)
|
97% |
1778
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1959
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
776
13.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2235
44.9 IPS |
