Gigabyte Technology Co., Ltd. TRX50 AI TOP
Geekbench AI Score
47318
Single Precision Score
71166
Half Precision Score
34566
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 14 2025 11:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. TRX50 AI TOP |
| Motherboard | Gigabyte Technology Co., Ltd. TRX50 AI TOP |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 7970X 32-Cores |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 25 Model 24 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 384.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17176
3.19 KIPS |
|
|
Image Classification (HP)
|
100% |
21751
4.05 KIPS |
|
|
Image Classification (Q)
|
100% |
14236
2.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
38002
616.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
49631
804.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
35024
569.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
396118
462.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
942910
1.10 KIPS |
|
|
Pose Estimation (Q)
|
96% |
318953
373.6 IPS |
|
|
Object Detection (SP)
|
100% |
23345
1.85 KIPS |
|
|
Object Detection (HP)
|
100% |
30404
2.41 KIPS |
|
|
Object Detection (Q)
|
85% |
19384
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
74139
880.9 IPS |
|
|
Face Detection (HP)
|
100% |
99838
1.19 KIPS |
|
|
Face Detection (Q)
|
97% |
57328
683.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
104889
808.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
191489
1.48 KIPS |
|
|
Depth Estimation (Q)
|
77% |
74129
593.7 IPS |
|
|
Style Transfer (SP)
|
100% |
600838
772.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1688771
2.17 KIPS |
|
|
Style Transfer (Q)
|
98% |
496248
639.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
73417
2.71 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
96608
3.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50761
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
3745
5.00 KIPS |
|
|
Text Classification (HP)
|
100% |
4661
6.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2360
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
7258
125.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7407
127.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3127
58.6 IPS |
