Gigabyte Technology Co., Ltd. B650 GAMING X AX
Geekbench AI Score
7457
Single Precision Score
7451
Half Precision Score
17383
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | aeonsim |
| Upload Date | August 16 2024 06:04 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7900 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 GAMING X AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650 GAMING X AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4396
817.6 IPS |
|
|
Image Classification (HP)
|
100% |
4465
830.4 IPS |
|
|
Image Classification (Q)
|
100% |
9842
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4331
70.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4421
71.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9686
157.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11858
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
11933
13.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
47590
55.7 IPS |
|
|
Object Detection (SP)
|
100% |
4762
377.7 IPS |
|
|
Object Detection (HP)
|
100% |
4805
381.2 IPS |
|
|
Object Detection (Q)
|
88% |
11264
902.9 IPS |
|
|
Face Detection (SP)
|
100% |
12427
147.7 IPS |
|
|
Face Detection (HP)
|
100% |
12062
143.3 IPS |
|
|
Face Detection (Q)
|
100% |
30419
361.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12116
93.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
12284
94.6 IPS |
|
|
Depth Estimation (Q)
|
80% |
34073
270.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30652
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
31288
40.2 IPS |
|
|
Style Transfer (Q)
|
98% |
112014
144.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6415
236.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6235
230.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19315
715.3 IPS |
|
|
Text Classification (SP)
|
100% |
3362
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
3345
4.47 KIPS |
|
|
Text Classification (Q)
|
92% |
4007
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4972
85.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4821
83.0 IPS |
|
|
Machine Translation (Q)
|
85% |
5489
95.9 IPS |
