Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX ICE
Geekbench AI Score
20392
Single Precision Score
37978
Half Precision Score
15709
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 23 2025 01:11 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX ICE |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX ICE |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8546
1.59 KIPS |
|
|
Image Classification (HP)
|
100% |
16122
3.00 KIPS |
|
|
Image Classification (Q)
|
99% |
7493
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14315
232.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22163
359.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
13429
218.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
100791
117.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
309747
361.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
84804
99.3 IPS |
|
|
Object Detection (SP)
|
100% |
11034
875.3 IPS |
|
|
Object Detection (HP)
|
100% |
18494
1.47 KIPS |
|
|
Object Detection (Q)
|
83% |
9660
780.4 IPS |
|
|
Face Detection (SP)
|
100% |
26662
316.8 IPS |
|
|
Face Detection (HP)
|
100% |
46943
557.8 IPS |
|
|
Face Detection (Q)
|
97% |
23516
280.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
49186
379.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
103010
793.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
39541
316.1 IPS |
|
|
Style Transfer (SP)
|
100% |
151062
194.2 IPS |
|
|
Style Transfer (HP)
|
100% |
520508
669.1 IPS |
|
|
Style Transfer (Q)
|
98% |
127178
164.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28210
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55765
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22145
820.0 IPS |
|
|
Text Classification (SP)
|
100% |
3517
4.69 KIPS |
|
|
Text Classification (HP)
|
100% |
4288
5.72 KIPS |
|
|
Text Classification (Q)
|
97% |
2199
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4650
80.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5068
87.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1928
36.2 IPS |
