Gigabyte Technology Co., Ltd. TRX50 AERO D
Geekbench AI Score
30869
Single Precision Score
44223
Half Precision Score
23824
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 05:43 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% |
11606
2.16 KIPS |
|
|
Image Classification (HP)
|
99% |
15611
2.91 KIPS |
|
|
Image Classification (Q)
|
100% |
9992
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18278
296.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22583
366.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
17282
281.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
257757
300.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
489052
570.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
227929
266.9 IPS |
|
|
Object Detection (SP)
|
100% |
14703
1.17 KIPS |
|
|
Object Detection (HP)
|
100% |
20281
1.61 KIPS |
|
|
Object Detection (Q)
|
89% |
12053
964.9 IPS |
|
|
Face Detection (SP)
|
100% |
39587
470.4 IPS |
|
|
Face Detection (HP)
|
100% |
48739
579.1 IPS |
|
|
Face Detection (Q)
|
97% |
33753
402.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
75131
578.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
142544
1.10 KIPS |
|
|
Depth Estimation (Q)
|
76% |
56922
458.6 IPS |
|
|
Style Transfer (SP)
|
100% |
382378
491.6 IPS |
|
|
Style Transfer (HP)
|
100% |
847430
1.09 KIPS |
|
|
Style Transfer (Q)
|
98% |
337733
435.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52236
1.93 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70118
2.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40297
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
3479
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
4250
5.67 KIPS |
|
|
Text Classification (Q)
|
97% |
2213
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4729
81.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4664
80.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2146
47.9 IPS |
