QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
3276
Single Precision Score
3796
Half Precision Score
8999
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 14 2025 09:54 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.99 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2473
460.0 IPS |
|
|
Image Classification (HP)
|
100% |
2549
474.0 IPS |
|
|
Image Classification (Q)
|
100% |
7169
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3093
50.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3125
50.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8025
130.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3436
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
4863
5.67 IPS |
|
|
Pose Estimation (Q)
|
98% |
11010
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1335
105.9 IPS |
|
|
Object Detection (HP)
|
100% |
2362
187.3 IPS |
|
|
Object Detection (Q)
|
88% |
7453
597.5 IPS |
|
|
Face Detection (SP)
|
100% |
6073
72.2 IPS |
|
|
Face Detection (HP)
|
100% |
6248
74.2 IPS |
|
|
Face Detection (Q)
|
100% |
18234
216.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3657
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6542
50.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
18244
142.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11100
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13855
17.8 IPS |
|
|
Style Transfer (Q)
|
98% |
27108
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2776
102.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3067
113.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7306
270.6 IPS |
|
|
Text Classification (SP)
|
100% |
1555
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1544
2.06 KIPS |
|
|
Text Classification (Q)
|
92% |
2954
3.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3819
65.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2535
43.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3793
65.3 IPS |
