ASUSTeK COMPUTER INC. ESC8000A-E12
Geekbench AI Score
915
Single Precision Score
932
Half Precision Score
1113
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | Mat_Ice |
| Upload Date | August 07 2025 07:52 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD EPYC 9124 |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.4 LTS |
| Model | ASUSTeK COMPUTER INC. ESC8000A-E12 |
| Motherboard | ASUSTeK COMPUTER INC. K14PG-D24 Series |
| CPU Information | |
|---|---|
| Name | AMD EPYC 9124 |
| Topology | 2 Processors, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 25 Model 17 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 1007.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
536
99.6 IPS |
|
|
Image Classification (HP)
|
100% |
571
106.1 IPS |
|
|
Image Classification (Q)
|
99% |
918
171.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1423
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1657
26.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
925
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1572
1.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
1558
1.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
2700
3.16 IPS |
|
|
Object Detection (SP)
|
100% |
671
53.2 IPS |
|
|
Object Detection (HP)
|
100% |
693
55.0 IPS |
|
|
Object Detection (Q)
|
85% |
1144
92.1 IPS |
|
|
Face Detection (SP)
|
100% |
764
9.07 IPS |
|
|
Face Detection (HP)
|
100% |
682
8.10 IPS |
|
|
Face Detection (Q)
|
97% |
1495
17.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
837
6.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
902
6.95 IPS |
|
|
Depth Estimation (Q)
|
63% |
1339
12.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2183
2.81 IPS |
|
|
Style Transfer (HP)
|
100% |
2159
2.78 IPS |
|
|
Style Transfer (Q)
|
98% |
3446
4.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
387
14.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
406
15.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
970
35.9 IPS |
|
|
Text Classification (SP)
|
100% |
637
850.6 IPS |
|
|
Text Classification (HP)
|
100% |
560
747.2 IPS |
|
|
Text Classification (Q)
|
92% |
359
481.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1493
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1608
27.7 IPS |
|
|
Machine Translation (Q)
|
58% |
467
11.0 IPS |
