Gigabyte Technology Co., Ltd. B660 DS3H AX DDR4
Geekbench AI Score
1804
Single Precision Score
1879
Half Precision Score
1217
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Deimorin |
| Upload Date | January 16 2025 03:38 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| 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% |
804
149.5 IPS |
|
|
Image Classification (HP)
|
100% |
827
153.8 IPS |
|
|
Image Classification (Q)
|
100% |
671
124.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1058
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1199
19.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
811
13.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5469
6.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
6195
7.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
3747
4.39 IPS |
|
|
Object Detection (SP)
|
100% |
863
68.5 IPS |
|
|
Object Detection (HP)
|
98% |
731
58.1 IPS |
|
|
Object Detection (Q)
|
86% |
717
57.6 IPS |
|
|
Face Detection (SP)
|
100% |
1692
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
1901
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
1264
15.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3269
25.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3561
27.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
2424
19.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11474
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15275
19.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8499
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1972
72.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2739
101.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1000
37.0 IPS |
|
|
Text Classification (SP)
|
100% |
963
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
579
773.4 IPS |
|
|
Text Classification (Q)
|
97% |
469
628.7 IPS |
|
|
Machine Translation (SP)
|
100% |
757
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
748
12.9 IPS |
|
|
Machine Translation (Q)
|
70% |
401
7.51 IPS |
