Gigabyte Technology Co., Ltd. TRX50 AI TOP
Geekbench AI Score
1486
Single Precision Score
1492
Half Precision Score
1705
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | genevera |
| Upload Date | June 11 2025 08:33 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 7960X 24-Cores |
| System Information | |
|---|---|
| Operating System | Garuda Linux |
| Model | Gigabyte Technology Co., Ltd. TRX50 AI TOP |
| Motherboard | Gigabyte Technology Co., Ltd. TRX50 AI TOP |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 7960X 24-Cores |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | AuthenticAMD Family 25 Model 24 Stepping 1 |
| Base Frequency | 5.67 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 188.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
963
179.1 IPS |
|
|
Image Classification (HP)
|
100% |
972
180.8 IPS |
|
|
Image Classification (Q)
|
99% |
1494
278.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2190
35.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1459
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2469
2.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
2462
2.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
3799
4.45 IPS |
|
|
Object Detection (SP)
|
100% |
1141
90.5 IPS |
|
|
Object Detection (HP)
|
100% |
1081
85.7 IPS |
|
|
Object Detection (Q)
|
85% |
1797
144.6 IPS |
|
|
Face Detection (SP)
|
100% |
1338
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
1341
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
2397
28.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1352
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1348
10.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
1754
16.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3191
4.10 IPS |
|
|
Style Transfer (HP)
|
100% |
3218
4.14 IPS |
|
|
Style Transfer (Q)
|
98% |
5307
6.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
667
24.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
670
24.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1332
49.4 IPS |
|
|
Text Classification (SP)
|
100% |
964
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
964
1.29 KIPS |
|
|
Text Classification (Q)
|
92% |
665
893.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2456
42.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2582
44.5 IPS |
|
|
Machine Translation (Q)
|
58% |
706
16.6 IPS |
