To Be Filled By O.E.M. To Be Filled By O.E.M.
Geekbench AI Score
2778
Single Precision Score
2914
Half Precision Score
2927
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | rothomp3 |
| Upload Date | August 26 2025 03:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 3 3300X 4-Core Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | To Be Filled By O.E.M. To Be Filled By O.E.M. |
| Motherboard | ASRock B450 Pro4 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 3300X |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.35 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 23.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1697
315.6 IPS |
|
|
Image Classification (HP)
|
100% |
1709
317.9 IPS |
|
|
Image Classification (Q)
|
100% |
1828
339.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1205
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1996
32.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2000
32.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3529
4.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
3504
4.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
3758
4.41 IPS |
|
|
Object Detection (SP)
|
100% |
1715
136.0 IPS |
|
|
Object Detection (HP)
|
100% |
1710
135.7 IPS |
|
|
Object Detection (Q)
|
87% |
1824
146.3 IPS |
|
|
Face Detection (SP)
|
100% |
3658
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
3649
43.4 IPS |
|
|
Face Detection (Q)
|
97% |
5445
64.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4739
36.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4735
36.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
4840
38.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9877
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9904
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
10899
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2043
75.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2040
75.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2196
81.4 IPS |
|
|
Text Classification (SP)
|
100% |
1969
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
1972
2.63 KIPS |
|
|
Text Classification (Q)
|
91% |
913
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3219
55.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3144
54.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3199
55.1 IPS |
