Gigabyte Technology Co., Ltd. B450M DS3H
Geekbench AI Score
2759
Single Precision Score
2763
Half Precision Score
1497
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | huntz |
| Upload Date | October 04 2025 12:22 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | Gigabyte Technology Co., Ltd. B450M DS3H |
| Motherboard | Gigabyte Technology Co., Ltd. B450M DS3H-CF |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.85 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2436
452.9 IPS |
|
|
Image Classification (HP)
|
100% |
2401
446.6 IPS |
|
|
Image Classification (Q)
|
99% |
1156
215.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2820
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2867
46.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1037
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2659
3.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
2643
3.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
2759
3.23 IPS |
|
|
Object Detection (SP)
|
100% |
2248
178.3 IPS |
|
|
Object Detection (HP)
|
100% |
2292
181.8 IPS |
|
|
Object Detection (Q)
|
85% |
954
76.8 IPS |
|
|
Face Detection (SP)
|
100% |
3298
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
3367
40.0 IPS |
|
|
Face Detection (Q)
|
97% |
2497
29.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2835
21.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2807
21.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1919
18.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2820
3.62 IPS |
|
|
Style Transfer (HP)
|
100% |
2792
3.59 IPS |
|
|
Style Transfer (Q)
|
98% |
5042
6.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2511
92.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2544
93.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1487
55.1 IPS |
|
|
Text Classification (SP)
|
100% |
2733
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
2708
3.61 KIPS |
|
|
Text Classification (Q)
|
92% |
793
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3443
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3429
59.1 IPS |
|
|
Machine Translation (Q)
|
58% |
629
14.8 IPS |
