Gigabyte Technology Co., Ltd. B650E AORUS MASTER
Geekbench AI Score
9016
Single Precision Score
9030
Half Precision Score
19971
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | RolandFromHolland85 |
| Upload Date | August 19 2024 04:13 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650E AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. B650E AORUS MASTER |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5145
956.8 IPS |
|
|
Image Classification (HP)
|
100% |
5051
939.4 IPS |
|
|
Image Classification (Q)
|
100% |
10585
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5047
81.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5085
82.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10109
163.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16109
18.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
16153
18.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
63363
74.2 IPS |
|
|
Object Detection (SP)
|
100% |
5445
431.9 IPS |
|
|
Object Detection (HP)
|
100% |
5584
442.9 IPS |
|
|
Object Detection (Q)
|
88% |
12193
977.4 IPS |
|
|
Face Detection (SP)
|
100% |
14639
173.9 IPS |
|
|
Face Detection (HP)
|
100% |
14150
168.1 IPS |
|
|
Face Detection (Q)
|
100% |
34910
414.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16293
125.5 IPS |
|
|
Depth Estimation (HP)
|
100% |
16179
124.6 IPS |
|
|
Depth Estimation (Q)
|
80% |
42127
333.9 IPS |
|
|
Style Transfer (SP)
|
100% |
41073
52.8 IPS |
|
|
Style Transfer (HP)
|
100% |
40946
52.6 IPS |
|
|
Style Transfer (Q)
|
98% |
150338
193.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8027
296.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8178
302.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23187
858.7 IPS |
|
|
Text Classification (SP)
|
100% |
3798
5.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3881
5.18 KIPS |
|
|
Text Classification (Q)
|
92% |
4395
5.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5219
89.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5231
90.1 IPS |
|
|
Machine Translation (Q)
|
85% |
5419
94.7 IPS |
