QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
13374
Single Precision Score
13405
Half Precision Score
33572
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | Wint3rmu7e |
| Upload Date | October 12 2025 12:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-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 Ryzen 9 9950X |
| Topology | 1 Processor, 16 Cores |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.29 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6688
1.24 KIPS |
|
|
Image Classification (HP)
|
100% |
6922
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
18605
3.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9083
147.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8879
143.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25484
413.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27537
32.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
27461
32.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
110760
129.7 IPS |
|
|
Object Detection (SP)
|
100% |
8002
634.7 IPS |
|
|
Object Detection (HP)
|
100% |
7702
610.9 IPS |
|
|
Object Detection (Q)
|
88% |
19377
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
17568
208.7 IPS |
|
|
Face Detection (HP)
|
100% |
18864
224.1 IPS |
|
|
Face Detection (Q)
|
100% |
49006
582.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21978
169.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
21699
167.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
63429
493.6 IPS |
|
|
Style Transfer (SP)
|
100% |
70019
90.0 IPS |
|
|
Style Transfer (HP)
|
100% |
70212
90.3 IPS |
|
|
Style Transfer (Q)
|
98% |
259313
334.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13247
489.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13056
482.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
37734
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
4367
5.83 KIPS |
|
|
Text Classification (HP)
|
100% |
4380
5.85 KIPS |
|
|
Text Classification (Q)
|
92% |
6515
8.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
8751
150.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8770
151.1 IPS |
|
|
Machine Translation (Q)
|
100% |
9021
155.4 IPS |
