Gigabyte Technology Co., Ltd. X870 AORUS ELITE WIFI7
Geekbench AI Score
37244
Single Precision Score
62653
Half Precision Score
28510
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 10 2025 03:56 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870 AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. X870 AORUS ELITE WIFI7 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14945
2.78 KIPS |
|
|
Image Classification (HP)
|
100% |
22957
4.27 KIPS |
|
|
Image Classification (Q)
|
100% |
13197
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25005
405.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
34381
557.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
23316
379.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
244822
285.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
717262
836.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
206350
241.7 IPS |
|
|
Object Detection (SP)
|
100% |
20566
1.63 KIPS |
|
|
Object Detection (HP)
|
100% |
30608
2.43 KIPS |
|
|
Object Detection (Q)
|
86% |
17227
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
55030
653.9 IPS |
|
|
Face Detection (HP)
|
100% |
81802
972.0 IPS |
|
|
Face Detection (Q)
|
97% |
46625
555.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
95561
736.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
176905
1.36 KIPS |
|
|
Depth Estimation (Q)
|
78% |
70295
561.3 IPS |
|
|
Style Transfer (SP)
|
100% |
352330
452.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1199665
1.54 KIPS |
|
|
Style Transfer (Q)
|
98% |
308811
398.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58889
2.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
91472
3.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44009
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
3989
5.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5311
7.09 KIPS |
|
|
Text Classification (Q)
|
97% |
2476
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
6272
108.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6378
109.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2942
55.2 IPS |
