Unknown
Geekbench AI Score
4430
Single Precision Score
4327
Half Precision Score
6310
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | aagi |
| Upload Date | January 29 2026 10:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD EPYC 7313 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Unknown |
| Motherboard | TYAN S8030GM2NE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD EPYC 7313 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 1 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2477
460.6 IPS |
|
|
Image Classification (HP)
|
100% |
2201
409.3 IPS |
|
|
Image Classification (Q)
|
100% |
4007
745.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3641
59.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3412
55.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7110
115.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9128
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9067
10.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
21386
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
2612
207.2 IPS |
|
|
Object Detection (HP)
|
100% |
2689
213.3 IPS |
|
|
Object Detection (Q)
|
87% |
4780
383.4 IPS |
|
|
Face Detection (SP)
|
100% |
4902
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
4684
55.7 IPS |
|
|
Face Detection (Q)
|
97% |
14544
173.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8065
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8273
63.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
15977
126.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25184
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25172
32.4 IPS |
|
|
Style Transfer (Q)
|
98% |
57957
74.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5109
188.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5082
187.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8988
332.9 IPS |
|
|
Text Classification (SP)
|
100% |
1446
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1342
1.79 KIPS |
|
|
Text Classification (Q)
|
91% |
181
243.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1842
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1893
32.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1569
27.0 IPS |
