System manufacturer System Product Name
Geekbench AI Score
132
Single Precision Score
93
Half Precision Score
186
Quantized Score
Geekbench AI 1.0.0 for Windows x86 (64-bit)
Result Information
| User | StingerYar |
| Upload Date | October 04 2024 08:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Athlon X2 340 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. CROSSBLADE RANGER |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Athlon X2 340 |
| Topology | 1 Processor, 1 Core, 2 Threads |
| Identifier | AuthenticAMD Family 21 Model 16 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 1 Core |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
74
13.7 IPS |
|
|
Image Classification (HP)
|
100% |
37
6.89 IPS |
|
|
Image Classification (Q)
|
96% |
144
26.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
50
0.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
40
0.65 IPS |
|
|
Image Segmentation (Q)
|
97% |
115
1.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
164
0.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
166
0.19 IPS |
|
|
Pose Estimation (Q)
|
87% |
297
0.35 IPS |
|
|
Object Detection (SP)
|
100% |
72
5.74 IPS |
|
|
Object Detection (HP)
|
100% |
44
3.49 IPS |
|
|
Object Detection (Q)
|
90% |
112
8.92 IPS |
|
|
Face Detection (SP)
|
100% |
164
1.95 IPS |
|
|
Face Detection (HP)
|
100% |
82
0.98 IPS |
|
|
Face Detection (Q)
|
96% |
292
3.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
209
1.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
140
1.08 IPS |
|
|
Depth Estimation (Q)
|
76% |
246
1.98 IPS |
|
|
Style Transfer (SP)
|
100% |
487
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
444
0.57 IPS |
|
|
Style Transfer (Q)
|
87% |
633
0.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
92
3.41 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
93
3.43 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
159
5.87 IPS |
|
|
Text Classification (SP)
|
100% |
122
162.8 IPS |
|
|
Text Classification (HP)
|
100% |
94
125.3 IPS |
|
|
Text Classification (Q)
|
97% |
92
123.8 IPS |
|
|
Machine Translation (SP)
|
100% |
197
3.40 IPS |
|
|
Machine Translation (HP)
|
100% |
106
1.82 IPS |
|
|
Machine Translation (Q)
|
60% |
141
3.15 IPS |
