QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
6699
Single Precision Score
6494
Half Precision Score
9722
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | KokomiCat |
| Upload Date | December 27 2025 05:37 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD EPYC 7J13 64-Core Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | AMD EPYC 7J13 64-Core Processor |
| Topology | 30 Processors, 30 Cores |
| Identifier | AuthenticAMD Family 25 Model 1 Stepping 1 |
| Base Frequency | 2.45 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 216.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3751
697.6 IPS |
|
|
Image Classification (HP)
|
100% |
3733
694.1 IPS |
|
|
Image Classification (Q)
|
100% |
5242
974.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5128
83.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5262
85.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9547
155.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12833
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
12633
14.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
31489
36.9 IPS |
|
|
Object Detection (SP)
|
100% |
4490
356.1 IPS |
|
|
Object Detection (HP)
|
100% |
4311
341.9 IPS |
|
|
Object Detection (Q)
|
87% |
6545
524.9 IPS |
|
|
Face Detection (SP)
|
100% |
10015
119.0 IPS |
|
|
Face Detection (HP)
|
100% |
9980
118.6 IPS |
|
|
Face Detection (Q)
|
97% |
21048
251.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11961
92.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9299
71.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
19635
154.8 IPS |
|
|
Style Transfer (SP)
|
100% |
36173
46.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36458
46.9 IPS |
|
|
Style Transfer (Q)
|
98% |
80167
103.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6081
224.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6026
222.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11541
427.5 IPS |
|
|
Text Classification (SP)
|
100% |
1936
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
1896
2.53 KIPS |
|
|
Text Classification (Q)
|
91% |
600
806.5 IPS |
|
|
Machine Translation (SP)
|
100% |
3224
55.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3230
55.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3190
55.0 IPS |
