Gigabyte Technology Co., Ltd. TRX50 AERO D
Geekbench AI Score
30687
Single Precision Score
43773
Half Precision Score
23834
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 05 2025 06:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. TRX50 AERO D |
| Motherboard | Gigabyte Technology Co., Ltd. TRX50 AERO D |
| Power Plan | Balanced |
| 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 | 4.20 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11486
2.14 KIPS |
|
|
Image Classification (HP)
|
99% |
15414
2.88 KIPS |
|
|
Image Classification (Q)
|
100% |
9967
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18376
297.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22705
368.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
17602
286.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
256785
299.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
486341
567.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
226597
265.3 IPS |
|
|
Object Detection (SP)
|
100% |
14447
1.15 KIPS |
|
|
Object Detection (HP)
|
100% |
19760
1.57 KIPS |
|
|
Object Detection (Q)
|
89% |
12178
975.0 IPS |
|
|
Face Detection (SP)
|
100% |
38993
463.3 IPS |
|
|
Face Detection (HP)
|
100% |
48354
574.5 IPS |
|
|
Face Detection (Q)
|
97% |
33296
397.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
74221
571.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
140880
1.09 KIPS |
|
|
Depth Estimation (Q)
|
76% |
57002
459.2 IPS |
|
|
Style Transfer (SP)
|
100% |
378278
486.3 IPS |
|
|
Style Transfer (HP)
|
100% |
825331
1.06 KIPS |
|
|
Style Transfer (Q)
|
98% |
335311
432.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52615
1.94 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69377
2.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40418
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
99% |
4127
5.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2208
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4795
82.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4771
82.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2152
48.0 IPS |
