Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX
Geekbench AI Score
3073
Single Precision Score
3074
Half Precision Score
1794
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | markupstart |
| Upload Date | August 15 2024 05:08 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux trixie/sid |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.05 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2161
401.9 IPS |
|
|
Image Classification (HP)
|
100% |
2172
404.0 IPS |
|
|
Image Classification (Q)
|
99% |
1281
239.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2913
47.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2899
47.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1123
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3398
3.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
3393
3.96 IPS |
|
|
Pose Estimation (Q)
|
96% |
3762
4.41 IPS |
|
|
Object Detection (SP)
|
100% |
1872
148.5 IPS |
|
|
Object Detection (HP)
|
100% |
1868
148.2 IPS |
|
|
Object Detection (Q)
|
86% |
1209
97.2 IPS |
|
|
Face Detection (SP)
|
100% |
4744
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
4755
56.5 IPS |
|
|
Face Detection (Q)
|
97% |
2572
30.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3664
28.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
3715
28.6 IPS |
|
|
Depth Estimation (Q)
|
74% |
2586
21.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3611
4.64 IPS |
|
|
Style Transfer (HP)
|
100% |
3645
4.69 IPS |
|
|
Style Transfer (Q)
|
98% |
6230
8.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2548
94.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2541
93.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1858
68.8 IPS |
|
|
Text Classification (SP)
|
100% |
2541
3.39 KIPS |
|
|
Text Classification (HP)
|
100% |
2507
3.35 KIPS |
|
|
Text Classification (Q)
|
92% |
905
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4618
79.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4616
79.5 IPS |
|
|
Machine Translation (Q)
|
58% |
761
17.9 IPS |
