Gigabyte Technology Co., Ltd. B650 GAMING X AX
Geekbench AI Score
1628
Single Precision Score
1901
Half Precision Score
1297
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | aeonsim |
| Upload Date | August 16 2024 06:00 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| 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% |
529
98.4 IPS |
|
|
Image Classification (HP)
|
100% |
616
114.5 IPS |
|
|
Image Classification (Q)
|
100% |
485
90.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1061
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
635
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
949
15.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6433
7.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
9830
11.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
5257
6.16 IPS |
|
|
Object Detection (SP)
|
100% |
554
43.9 IPS |
|
|
Object Detection (HP)
|
100% |
656
52.0 IPS |
|
|
Object Detection (Q)
|
89% |
507
40.6 IPS |
|
|
Face Detection (SP)
|
100% |
1400
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
1646
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
1129
13.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2902
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3895
30.0 IPS |
|
|
Depth Estimation (Q)
|
73% |
2528
20.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9849
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14990
19.3 IPS |
|
|
Style Transfer (Q)
|
98% |
8655
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2850
105.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3790
139.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2128
78.8 IPS |
|
|
Text Classification (SP)
|
100% |
724
966.8 IPS |
|
|
Text Classification (HP)
|
100% |
766
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
521
698.1 IPS |
|
|
Machine Translation (SP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
880
15.2 IPS |
|
|
Machine Translation (Q)
|
60% |
401
8.95 IPS |
