QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
2915
Single Precision Score
701
Half Precision Score
5267
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | KokomiCat |
| Upload Date | December 27 2025 05:35 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1100
204.6 IPS |
|
|
Image Classification (HP)
|
100% |
134
24.8 IPS |
|
|
Image Classification (Q)
|
94% |
4452
832.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1425
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
234
3.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
2077
33.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15172
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
5700
6.65 IPS |
|
|
Pose Estimation (Q)
|
86% |
25939
30.7 IPS |
|
|
Object Detection (SP)
|
100% |
1599
126.8 IPS |
|
|
Object Detection (HP)
|
100% |
180
14.3 IPS |
|
|
Object Detection (Q)
|
58% |
4317
471.6 IPS |
|
|
Face Detection (SP)
|
100% |
2751
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
309
3.68 IPS |
|
|
Face Detection (Q)
|
96% |
10153
121.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7488
57.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
836
6.44 IPS |
|
|
Depth Estimation (Q)
|
78% |
11736
93.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18365
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14962
19.2 IPS |
|
|
Style Transfer (Q)
|
87% |
25301
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2409
89.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1608
59.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2691
99.7 IPS |
|
|
Text Classification (SP)
|
100% |
1031
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
353
471.3 IPS |
|
|
Text Classification (Q)
|
97% |
914
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1244
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
406
7.00 IPS |
|
|
Machine Translation (Q)
|
68% |
2142
41.4 IPS |
