Gigabyte Technology Co., Ltd. TRX50 AERO D
Geekbench AI Score
30865
Single Precision Score
43832
Half Precision Score
23866
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 01:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 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 | 4.58 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11578
2.15 KIPS |
|
|
Image Classification (HP)
|
99% |
15522
2.90 KIPS |
|
|
Image Classification (Q)
|
100% |
9932
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18173
294.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22573
365.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
17453
283.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
255933
298.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
486968
568.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
226761
265.5 IPS |
|
|
Object Detection (SP)
|
100% |
14751
1.17 KIPS |
|
|
Object Detection (HP)
|
100% |
20332
1.61 KIPS |
|
|
Object Detection (Q)
|
89% |
12333
987.4 IPS |
|
|
Face Detection (SP)
|
100% |
39596
470.5 IPS |
|
|
Face Detection (HP)
|
100% |
48406
575.2 IPS |
|
|
Face Detection (Q)
|
97% |
33464
399.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
74202
571.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
134646
1.04 KIPS |
|
|
Depth Estimation (Q)
|
76% |
57139
460.3 IPS |
|
|
Style Transfer (SP)
|
100% |
381875
490.9 IPS |
|
|
Style Transfer (HP)
|
100% |
840318
1.08 KIPS |
|
|
Style Transfer (Q)
|
98% |
336174
433.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53134
1.96 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70277
2.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40644
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
3480
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
4206
5.61 KIPS |
|
|
Text Classification (Q)
|
97% |
2219
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4762
82.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4661
80.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2134
47.6 IPS |
