ASUSTeK COMPUTER INC. ESC8000A-E11
Geekbench AI Score
370
Single Precision Score
351
Half Precision Score
254
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| Upload Date | April 23 2025 07:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD EPYC 75F3 |
| 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 75F3 |
| Topology | 2 Processors, 64 Cores, 128 Threads |
| Identifier | AuthenticAMD Family 25 Model 1 Stepping 1 |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 1007.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
279
51.9 IPS |
|
|
Image Classification (HP)
|
100% |
180
33.4 IPS |
|
|
Image Classification (Q)
|
97% |
142
26.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
355
5.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
316
5.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
207
3.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
489
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
486
0.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
418
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (Q)
|
87% |
181
14.6 IPS |
|
|
Face Detection (SP)
|
100% |
538
6.39 IPS |
|
|
Face Detection (HP)
|
100% |
537
6.38 IPS |
|
|
Face Detection (Q)
|
97% |
429
5.12 IPS |
|
|
Depth Estimation (SP)
|
100% |
540
4.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
522
4.02 IPS |
|
|
Depth Estimation (Q)
|
64% |
384
3.54 IPS |
|
|
Style Transfer (SP)
|
100% |
1107
1.42 IPS |
|
|
Style Transfer (HP)
|
100% |
1069
1.37 IPS |
|
|
Style Transfer (Q)
|
98% |
1011
1.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
248
9.14 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
259
9.55 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
220
8.14 IPS |
|
|
Text Classification (SP)
|
100% |
169
225.5 IPS |
|
|
Text Classification (HP)
|
100% |
168
224.1 IPS |
|
|
Text Classification (Q)
|
91% |
91
122.1 IPS |
|
|
Machine Translation (SP)
|
100% |
374
6.43 IPS |
|
|
Machine Translation (HP)
|
100% |
388
6.68 IPS |
|
|
Machine Translation (Q)
|
58% |
153
3.65 IPS |
