System manufacturer System Product Name
Geekbench AI Score
5196
Single Precision Score
5287
Half Precision Score
7550
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 07:21 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B350M-A |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3632
675.4 IPS |
|
|
Image Classification (HP)
|
100% |
3580
665.7 IPS |
|
|
Image Classification (Q)
|
100% |
5297
985.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2949
47.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3183
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5409
87.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6875
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
6802
7.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
14195
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
3487
276.6 IPS |
|
|
Object Detection (HP)
|
100% |
3518
279.0 IPS |
|
|
Object Detection (Q)
|
87% |
5405
433.5 IPS |
|
|
Face Detection (SP)
|
100% |
11512
136.8 IPS |
|
|
Face Detection (HP)
|
100% |
11627
138.2 IPS |
|
|
Face Detection (Q)
|
97% |
15910
189.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8927
68.8 IPS |
|
|
Depth Estimation (HP)
|
100% |
9176
70.7 IPS |
|
|
Depth Estimation (Q)
|
79% |
15529
123.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20080
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
20305
26.1 IPS |
|
|
Style Transfer (Q)
|
98% |
39936
51.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4136
152.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4154
153.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8108
300.3 IPS |
|
|
Text Classification (SP)
|
100% |
1606
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
1555
2.08 KIPS |
|
|
Text Classification (Q)
|
91% |
1228
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4082
70.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4473
77.1 IPS |
|
|
Machine Translation (Q)
|
90% |
2788
48.4 IPS |
