Generic
Geekbench AI Score
6117
Single Precision Score
6084
Half Precision Score
8843
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 12 2025 12:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Generic |
| Motherboard | ASRock X570S PG Riptide |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 80.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4102
762.8 IPS |
|
|
Image Classification (HP)
|
100% |
4101
762.6 IPS |
|
|
Image Classification (Q)
|
100% |
5868
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4611
74.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4577
74.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6780
110.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7550
8.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
7636
8.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
15677
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3638
288.6 IPS |
|
|
Object Detection (HP)
|
100% |
3625
287.5 IPS |
|
|
Object Detection (Q)
|
87% |
6036
484.1 IPS |
|
|
Face Detection (SP)
|
100% |
7219
85.8 IPS |
|
|
Face Detection (HP)
|
100% |
7236
86.0 IPS |
|
|
Face Detection (Q)
|
97% |
16452
196.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8697
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8739
67.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
16428
129.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21984
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22187
28.5 IPS |
|
|
Style Transfer (Q)
|
98% |
44745
57.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4810
177.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4721
174.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8897
329.6 IPS |
|
|
Text Classification (SP)
|
100% |
3678
4.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3678
4.91 KIPS |
|
|
Text Classification (Q)
|
91% |
1275
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
5788
99.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5493
94.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5667
97.6 IPS |
