GenMachine Default string
Geekbench AI Score
3386
Single Precision Score
1522
Half Precision Score
7355
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 11:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Eng Sample: 100-000000955-50_Y |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GenMachine Default string |
| Motherboard | GenMachine Default string |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Eng Sample: 100-000000955-50_Y |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 0 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2817
523.8 IPS |
|
|
Image Classification (HP)
|
100% |
630
117.1 IPS |
|
|
Image Classification (Q)
|
99% |
7154
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1269
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
707
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9473
154.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4023
4.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
3532
4.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
14994
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1993
158.1 IPS |
|
|
Object Detection (HP)
|
100% |
529
41.9 IPS |
|
|
Object Detection (Q)
|
86% |
5491
441.3 IPS |
|
|
Face Detection (SP)
|
100% |
4905
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
1274
15.1 IPS |
|
|
Face Detection (Q)
|
97% |
10926
130.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8204
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2490
19.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
7769
62.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14317
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13000
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
26845
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2538
93.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2353
86.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6381
236.3 IPS |
|
|
Text Classification (SP)
|
100% |
2090
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
883
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1813
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2267
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
939
16.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3153
63.4 IPS |
