Gigabyte Technology Co., Ltd. B650 GAMING X AX
Geekbench AI Score
6897
Single Precision Score
6868
Half Precision Score
16645
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | aeonsim |
| Upload Date | September 05 2024 08:44 AM |
| Views | 5 |
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% |
4079
758.7 IPS |
|
|
Image Classification (HP)
|
100% |
4233
787.2 IPS |
|
|
Image Classification (Q)
|
100% |
9640
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4121
66.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4046
65.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9228
149.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11395
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
11400
13.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
45884
53.7 IPS |
|
|
Object Detection (SP)
|
100% |
4335
343.9 IPS |
|
|
Object Detection (HP)
|
100% |
3732
296.0 IPS |
|
|
Object Detection (Q)
|
88% |
10534
844.4 IPS |
|
|
Face Detection (SP)
|
100% |
9365
111.3 IPS |
|
|
Face Detection (HP)
|
100% |
11705
139.1 IPS |
|
|
Face Detection (Q)
|
100% |
29882
355.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11711
90.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
11659
89.8 IPS |
|
|
Depth Estimation (Q)
|
80% |
31278
247.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30010
38.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29290
37.7 IPS |
|
|
Style Transfer (Q)
|
98% |
110268
142.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6208
229.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6166
227.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18912
700.4 IPS |
|
|
Text Classification (SP)
|
100% |
3305
4.41 KIPS |
|
|
Text Classification (HP)
|
100% |
3293
4.39 KIPS |
|
|
Text Classification (Q)
|
92% |
3889
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4346
74.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3953
68.1 IPS |
|
|
Machine Translation (Q)
|
85% |
5011
87.6 IPS |
