TRX50 WS
Geekbench AI Score
40092
Single Precision Score
55131
Half Precision Score
29999
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 06:49 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | TRX50 WS |
| Motherboard | ASRock TRX50 WS |
| Power Plan | Ultimate Performance |
| 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 | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13912
2.59 KIPS |
|
|
Image Classification (HP)
|
99% |
18208
3.40 KIPS |
|
|
Image Classification (Q)
|
100% |
11844
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28230
457.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
36408
590.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
25720
418.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
338794
395.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
555291
647.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
289028
338.6 IPS |
|
|
Object Detection (SP)
|
100% |
19427
1.54 KIPS |
|
|
Object Detection (HP)
|
100% |
25602
2.03 KIPS |
|
|
Object Detection (Q)
|
86% |
16334
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
58129
690.7 IPS |
|
|
Face Detection (HP)
|
100% |
74101
880.5 IPS |
|
|
Face Detection (Q)
|
97% |
48755
581.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
96864
746.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
163845
1.26 KIPS |
|
|
Depth Estimation (Q)
|
77% |
70700
565.5 IPS |
|
|
Style Transfer (SP)
|
100% |
589018
757.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1130043
1.45 KIPS |
|
|
Style Transfer (Q)
|
98% |
492261
634.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59787
2.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80808
2.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43704
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
3371
4.50 KIPS |
|
|
Text Classification (HP)
|
99% |
4087
5.45 KIPS |
|
|
Text Classification (Q)
|
97% |
2033
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
6211
107.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6075
104.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2723
51.1 IPS |
