Gigabyte Technology Co., Ltd. B650 GAMING X AX
Geekbench AI Score
7350
Single Precision Score
7358
Half Precision Score
17337
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | aeonsim |
| Upload Date | September 08 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% |
4378
814.2 IPS |
|
|
Image Classification (HP)
|
100% |
4451
827.7 IPS |
|
|
Image Classification (Q)
|
100% |
9683
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4355
70.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4382
71.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9533
154.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11794
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
11726
13.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
46983
55.0 IPS |
|
|
Object Detection (SP)
|
100% |
4552
361.1 IPS |
|
|
Object Detection (HP)
|
100% |
4499
356.8 IPS |
|
|
Object Detection (Q)
|
88% |
11231
900.3 IPS |
|
|
Face Detection (SP)
|
100% |
12020
142.8 IPS |
|
|
Face Detection (HP)
|
100% |
12115
144.0 IPS |
|
|
Face Detection (Q)
|
100% |
31188
370.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12137
93.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11936
92.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
33871
263.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30535
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
30865
39.7 IPS |
|
|
Style Transfer (Q)
|
98% |
114036
147.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6268
231.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6345
234.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19269
713.6 IPS |
|
|
Text Classification (SP)
|
100% |
3397
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
3286
4.39 KIPS |
|
|
Text Classification (Q)
|
92% |
3990
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4745
81.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4859
83.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5439
93.7 IPS |
