Gigabyte Technology Co., Ltd. B650 EAGLE
Geekbench AI Score
4149
Single Precision Score
1792
Half Precision Score
7761
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | eartaehba |
| Upload Date | December 15 2024 08:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7500F |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 EAGLE |
| Motherboard | Gigabyte Technology Co., Ltd. B650 EAGLE |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3452
642.0 IPS |
|
|
Image Classification (HP)
|
100% |
682
126.9 IPS |
|
|
Image Classification (Q)
|
99% |
7544
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2035
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
959
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3535
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5879
6.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
5007
5.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
21811
25.6 IPS |
|
|
Object Detection (SP)
|
100% |
3097
245.7 IPS |
|
|
Object Detection (HP)
|
100% |
884
70.1 IPS |
|
|
Object Detection (Q)
|
86% |
7856
631.3 IPS |
|
|
Face Detection (SP)
|
100% |
6883
81.8 IPS |
|
|
Face Detection (HP)
|
100% |
1946
23.1 IPS |
|
|
Face Detection (Q)
|
97% |
10743
128.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8027
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2729
21.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
16317
130.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15127
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11805
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
28465
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2763
102.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2357
87.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4123
152.7 IPS |
|
|
Text Classification (SP)
|
100% |
1955
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
899
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1997
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2621
45.1 IPS |
|
|
Machine Translation (HP)
|
100% |
892
15.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4224
84.9 IPS |
