AMD Ryzen Threadripper PRO 3945WX GIGABYTE MC62-G40-00
Geekbench AI Score
1407
Single Precision Score
1406
Half Precision Score
1101
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | Hedede |
| Upload Date | August 15 2025 06:38 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen Threadripper PRO 3945WX |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | GIGABYTE MC62-G40-00 |
| Motherboard | GIGABYTE MC62-G40-00 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 3945WX |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.65 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
938
174.5 IPS |
|
|
Image Classification (HP)
|
100% |
940
174.8 IPS |
|
|
Image Classification (Q)
|
99% |
626
116.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1500
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1492
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
899
14.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2425
2.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
2422
2.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
2842
3.33 IPS |
|
|
Object Detection (SP)
|
100% |
1014
80.5 IPS |
|
|
Object Detection (HP)
|
100% |
1003
79.6 IPS |
|
|
Object Detection (Q)
|
85% |
743
59.8 IPS |
|
|
Face Detection (SP)
|
100% |
1615
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
1576
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
1243
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1582
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1589
12.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1335
12.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2998
3.85 IPS |
|
|
Style Transfer (HP)
|
100% |
3002
3.86 IPS |
|
|
Style Transfer (Q)
|
98% |
4713
6.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
822
30.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
816
30.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1171
43.4 IPS |
|
|
Text Classification (SP)
|
100% |
851
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
816
1.09 KIPS |
|
|
Text Classification (Q)
|
92% |
499
670.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1649
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1776
30.6 IPS |
|
|
Machine Translation (Q)
|
58% |
485
11.4 IPS |
