Gigabyte Technology Co., Ltd. B850 AORUS ELITE WIFI7
Geekbench AI Score
38791
Single Precision Score
65182
Half Precision Score
29174
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 08 2025 01:13 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B850 AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. B850 AORUS ELITE WIFI7 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 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% |
15019
2.79 KIPS |
|
|
Image Classification (HP)
|
100% |
21949
4.08 KIPS |
|
|
Image Classification (Q)
|
100% |
13273
2.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
29663
480.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
43841
710.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
26930
437.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
241928
282.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
728158
849.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
202549
237.3 IPS |
|
|
Object Detection (SP)
|
100% |
20654
1.64 KIPS |
|
|
Object Detection (HP)
|
100% |
31176
2.47 KIPS |
|
|
Object Detection (Q)
|
86% |
17377
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
60000
712.9 IPS |
|
|
Face Detection (HP)
|
100% |
90934
1.08 KIPS |
|
|
Face Detection (Q)
|
97% |
49042
584.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
93996
724.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
172465
1.33 KIPS |
|
|
Depth Estimation (Q)
|
78% |
69751
557.0 IPS |
|
|
Style Transfer (SP)
|
100% |
353946
455.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1194122
1.54 KIPS |
|
|
Style Transfer (Q)
|
98% |
308083
397.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58827
2.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
88677
3.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43950
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
3961
5.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5066
6.76 KIPS |
|
|
Text Classification (Q)
|
97% |
2396
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
7451
128.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7534
129.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3200
60.0 IPS |
