Gigabyte Technology Co., Ltd. TRX50 AERO D
Geekbench AI Score
31136
Single Precision Score
44634
Half Precision Score
24059
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 01:42 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 | 4.20 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12152
2.26 KIPS |
|
|
Image Classification (HP)
|
99% |
16711
3.12 KIPS |
|
|
Image Classification (Q)
|
100% |
10299
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18407
298.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22953
372.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
17457
283.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
254999
297.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
486819
568.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
228279
267.3 IPS |
|
|
Object Detection (SP)
|
100% |
14655
1.16 KIPS |
|
|
Object Detection (HP)
|
100% |
19604
1.55 KIPS |
|
|
Object Detection (Q)
|
89% |
12249
980.6 IPS |
|
|
Face Detection (SP)
|
100% |
39505
469.4 IPS |
|
|
Face Detection (HP)
|
100% |
48247
573.3 IPS |
|
|
Face Detection (Q)
|
97% |
33530
399.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
74811
576.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
140917
1.09 KIPS |
|
|
Depth Estimation (Q)
|
76% |
57246
461.2 IPS |
|
|
Style Transfer (SP)
|
100% |
379518
487.9 IPS |
|
|
Style Transfer (HP)
|
100% |
832396
1.07 KIPS |
|
|
Style Transfer (Q)
|
98% |
336187
433.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52650
1.94 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71263
2.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40763
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
3618
4.83 KIPS |
|
|
Text Classification (HP)
|
99% |
4453
5.94 KIPS |
|
|
Text Classification (Q)
|
97% |
2262
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
4795
82.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4774
82.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2173
48.5 IPS |
