ASUSTeK COMPUTER INC. ESC8000A-E11
Geekbench AI Score
207
Single Precision Score
214
Half Precision Score
157
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| Upload Date | May 19 2025 06:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD EPYC 7313 |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.2 LTS |
| Model | ASUSTeK COMPUTER INC. ESC8000A-E11 |
| Motherboard | ASUSTeK COMPUTER INC. KMPG-D32 Series |
| CPU Information | |
|---|---|
| Name | AMD EPYC 7313 |
| Topology | 2 Processors, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 25 Model 1 Stepping 1 |
| Base Frequency | 3.73 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 251.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
109
20.2 IPS |
|
|
Image Classification (HP)
|
100% |
83
15.5 IPS |
|
|
Image Classification (Q)
|
97% |
67
12.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
127
2.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
152
2.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
101
1.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
250
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
257
0.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
213
0.25 IPS |
|
|
Object Detection (SP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (HP)
|
100% |
148
11.8 IPS |
|
|
Object Detection (Q)
|
87% |
115
9.24 IPS |
|
|
Face Detection (SP)
|
100% |
359
4.27 IPS |
|
|
Face Detection (HP)
|
100% |
371
4.41 IPS |
|
|
Face Detection (Q)
|
97% |
336
4.00 IPS |
|
|
Depth Estimation (SP)
|
100% |
319
2.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
324
2.49 IPS |
|
|
Depth Estimation (Q)
|
64% |
214
1.97 IPS |
|
|
Style Transfer (SP)
|
100% |
665
0.86 IPS |
|
|
Style Transfer (HP)
|
100% |
669
0.86 IPS |
|
|
Style Transfer (Q)
|
98% |
562
0.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
150
5.53 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
151
5.58 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
118
4.38 IPS |
|
|
Text Classification (SP)
|
100% |
115
153.9 IPS |
|
|
Text Classification (HP)
|
100% |
158
211.5 IPS |
|
|
Text Classification (Q)
|
91% |
96
128.5 IPS |
|
|
Machine Translation (SP)
|
100% |
227
3.90 IPS |
|
|
Machine Translation (HP)
|
100% |
228
3.93 IPS |
|
|
Machine Translation (Q)
|
58% |
122
2.92 IPS |
