Gigabyte Technology Co., Ltd. B650 GAMING X AX
Geekbench AI Score
3350
Single Precision Score
1526
Half Precision Score
5490
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | aeonsim |
| Upload Date | September 08 2024 08:43 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7900 |
| 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% |
1527
283.9 IPS |
|
|
Image Classification (HP)
|
100% |
486
90.4 IPS |
|
|
Image Classification (Q)
|
99% |
4121
768.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
772
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3810
61.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7612
8.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
6373
7.44 IPS |
|
|
Pose Estimation (Q)
|
95% |
32698
38.3 IPS |
|
|
Object Detection (SP)
|
100% |
2080
165.0 IPS |
|
|
Object Detection (HP)
|
100% |
633
50.2 IPS |
|
|
Object Detection (Q)
|
88% |
1906
152.8 IPS |
|
|
Face Detection (SP)
|
100% |
3491
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
1402
16.7 IPS |
|
|
Face Detection (Q)
|
97% |
5427
64.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7435
57.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2385
18.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
9272
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17127
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16038
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
34596
44.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2221
82.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1985
73.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3364
124.5 IPS |
|
|
Text Classification (SP)
|
100% |
1418
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
634
846.4 IPS |
|
|
Text Classification (Q)
|
97% |
1452
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2479
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
673
11.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2992
66.7 IPS |
