Gigabyte Technology Co., Ltd. AB350-Gaming 3
Geekbench AI Score
2278
Single Precision Score
1179
Half Precision Score
2798
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | somata |
| Upload Date | September 24 2024 06:39 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. AB350-Gaming 3 |
| Motherboard | Gigabyte Technology Co., Ltd. AB350-Gaming 3-CF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1305
242.6 IPS |
|
|
Image Classification (HP)
|
100% |
454
84.4 IPS |
|
|
Image Classification (Q)
|
96% |
2789
520.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1377
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
731
11.8 IPS |
|
|
Image Segmentation (Q)
|
97% |
1663
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3437
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2970
3.47 IPS |
|
|
Pose Estimation (Q)
|
87% |
8300
9.80 IPS |
|
|
Object Detection (SP)
|
100% |
1425
113.0 IPS |
|
|
Object Detection (HP)
|
100% |
576
45.7 IPS |
|
|
Object Detection (Q)
|
86% |
1601
128.7 IPS |
|
|
Face Detection (SP)
|
100% |
2527
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
1356
16.1 IPS |
|
|
Face Detection (Q)
|
96% |
3521
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4152
32.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1742
13.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
5060
40.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8997
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7428
9.55 IPS |
|
|
Style Transfer (Q)
|
87% |
12630
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1661
61.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1440
53.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2642
97.9 IPS |
|
|
Text Classification (SP)
|
100% |
1386
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
617
823.6 IPS |
|
|
Text Classification (Q)
|
97% |
397
532.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1969
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
587
10.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2026
45.2 IPS |
