Gigabyte Technology Co., Ltd. TRX50 AERO D
Geekbench AI Score
31159
Single Precision Score
44629
Half Precision Score
24027
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 01 2025 01:34 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% |
12062
2.24 KIPS |
|
|
Image Classification (HP)
|
99% |
16411
3.06 KIPS |
|
|
Image Classification (Q)
|
100% |
10203
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18451
299.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22890
371.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
17225
280.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
255469
298.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
490440
572.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
228667
267.8 IPS |
|
|
Object Detection (SP)
|
100% |
14549
1.15 KIPS |
|
|
Object Detection (HP)
|
100% |
19614
1.56 KIPS |
|
|
Object Detection (Q)
|
89% |
12087
967.6 IPS |
|
|
Face Detection (SP)
|
100% |
39350
467.6 IPS |
|
|
Face Detection (HP)
|
100% |
48361
574.6 IPS |
|
|
Face Detection (Q)
|
97% |
33702
401.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
74850
576.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
141760
1.10 KIPS |
|
|
Depth Estimation (Q)
|
76% |
57235
461.1 IPS |
|
|
Style Transfer (SP)
|
100% |
380400
489.0 IPS |
|
|
Style Transfer (HP)
|
100% |
828539
1.07 KIPS |
|
|
Style Transfer (Q)
|
98% |
336939
434.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53253
1.97 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71024
2.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41224
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
3633
4.85 KIPS |
|
|
Text Classification (HP)
|
99% |
4501
6.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2280
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
4812
82.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4778
82.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2161
48.2 IPS |
