Gigabyte Technology Co., Ltd. B660M DS3H AX DDR4
Geekbench AI Score
3231
Single Precision Score
1389
Half Precision Score
5994
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | mpatton |
| Upload Date | May 13 2025 01:45 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B660M DS3H AX DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B660M DS3H AX DDR4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700KF |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2804
521.5 IPS |
|
|
Image Classification (HP)
|
100% |
516
95.9 IPS |
|
|
Image Classification (Q)
|
99% |
5952
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1183
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
861
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3027
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5835
6.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
4020
4.69 IPS |
|
|
Pose Estimation (Q)
|
94% |
20094
23.6 IPS |
|
|
Object Detection (SP)
|
100% |
2396
190.1 IPS |
|
|
Object Detection (HP)
|
100% |
609
48.3 IPS |
|
|
Object Detection (Q)
|
86% |
5839
469.3 IPS |
|
|
Face Detection (SP)
|
100% |
4536
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
1394
16.6 IPS |
|
|
Face Detection (Q)
|
97% |
7861
93.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7276
56.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1922
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
13317
106.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13657
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9856
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
16000
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2361
87.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1832
67.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3560
131.8 IPS |
|
|
Text Classification (SP)
|
100% |
1606
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
751
1.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1603
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1566
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2964
59.5 IPS |
