Gigabyte Technology Co., Ltd. TRX50 AERO D
Geekbench AI Score
30583
Single Precision Score
43614
Half Precision Score
23781
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 12 2025 04:53 PM |
| Views | 3 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11522
2.14 KIPS |
|
|
Image Classification (HP)
|
99% |
15416
2.88 KIPS |
|
|
Image Classification (Q)
|
100% |
9937
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18285
296.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22694
367.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
17503
284.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
253446
295.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
485666
566.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
225971
264.6 IPS |
|
|
Object Detection (SP)
|
100% |
14420
1.14 KIPS |
|
|
Object Detection (HP)
|
100% |
19542
1.55 KIPS |
|
|
Object Detection (Q)
|
89% |
12059
965.4 IPS |
|
|
Face Detection (SP)
|
100% |
38929
462.6 IPS |
|
|
Face Detection (HP)
|
100% |
47983
570.1 IPS |
|
|
Face Detection (Q)
|
97% |
33500
399.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
74153
571.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
139843
1.08 KIPS |
|
|
Depth Estimation (Q)
|
76% |
56878
458.2 IPS |
|
|
Style Transfer (SP)
|
100% |
375987
483.3 IPS |
|
|
Style Transfer (HP)
|
100% |
821218
1.06 KIPS |
|
|
Style Transfer (Q)
|
98% |
334752
431.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52151
1.93 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69273
2.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40333
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (HP)
|
99% |
4154
5.54 KIPS |
|
|
Text Classification (Q)
|
97% |
2201
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4798
82.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4730
81.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2156
48.1 IPS |
