Giga Computing MZ73-LM1-000
Geekbench AI Score
716
Single Precision Score
719
Half Precision Score
967
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | tlywly |
| Upload Date | August 16 2024 03:36 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD EPYC 9654 |
| System Information | |
|---|---|
| Operating System | Fedora Linux 40 (Workstation Edition) |
| Model | Giga Computing MZ73-LM1-000 |
| Motherboard | Giga Computing MZ73-LM1-000 |
| CPU Information | |
|---|---|
| Name | AMD EPYC 9654 |
| Topology | 2 Processors, 192 Cores, 384 Threads |
| Identifier | AuthenticAMD Family 25 Model 17 Stepping 1 |
| Base Frequency | 3.71 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 755.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
418
77.7 IPS |
|
|
Image Classification (HP)
|
100% |
481
89.5 IPS |
|
|
Image Classification (Q)
|
99% |
515
96.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1068
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1101
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1112
1.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
2448
2.87 IPS |
|
|
Object Detection (SP)
|
100% |
636
50.5 IPS |
|
|
Object Detection (HP)
|
100% |
633
50.2 IPS |
|
|
Object Detection (Q)
|
86% |
1039
83.6 IPS |
|
|
Face Detection (SP)
|
100% |
670
7.96 IPS |
|
|
Face Detection (HP)
|
100% |
650
7.72 IPS |
|
|
Face Detection (Q)
|
97% |
1411
16.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
624
4.81 IPS |
|
|
Depth Estimation (HP)
|
100% |
629
4.84 IPS |
|
|
Depth Estimation (Q)
|
74% |
1184
9.62 IPS |
|
|
Style Transfer (SP)
|
100% |
1541
1.98 IPS |
|
|
Style Transfer (HP)
|
100% |
1538
1.98 IPS |
|
|
Style Transfer (Q)
|
98% |
3043
3.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
287
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
286
10.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
727
27.0 IPS |
|
|
Text Classification (SP)
|
100% |
375
500.4 IPS |
|
|
Text Classification (HP)
|
100% |
368
491.2 IPS |
|
|
Text Classification (Q)
|
92% |
302
405.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1248
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1149
19.8 IPS |
|
|
Machine Translation (Q)
|
58% |
461
10.8 IPS |
