Generic
Geekbench AI Score
4297
Single Precision Score
1718
Half Precision Score
6218
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | vassourabfc |
| Upload Date | September 29 2025 10:36 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B550 Phantom Gaming-ITX/ax |
| Power Plan | Desempenho Mximo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3182
591.8 IPS |
|
|
Image Classification (HP)
|
100% |
584
108.5 IPS |
|
|
Image Classification (Q)
|
96% |
5586
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1904
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
844
13.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
7448
121.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9201
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
6790
7.92 IPS |
|
|
Pose Estimation (Q)
|
86% |
17112
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
3453
273.9 IPS |
|
|
Object Detection (HP)
|
100% |
768
60.9 IPS |
|
|
Object Detection (Q)
|
58% |
4261
465.6 IPS |
|
|
Face Detection (SP)
|
100% |
6729
80.0 IPS |
|
|
Face Detection (HP)
|
100% |
1586
18.8 IPS |
|
|
Face Detection (Q)
|
96% |
9204
109.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9729
75.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2419
18.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
13494
107.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19425
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16953
21.8 IPS |
|
|
Style Transfer (Q)
|
87% |
20420
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2397
88.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2052
75.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3512
130.1 IPS |
|
|
Text Classification (SP)
|
100% |
1450
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
709
945.7 IPS |
|
|
Text Classification (Q)
|
97% |
1135
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2527
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
923
15.9 IPS |
|
|
Machine Translation (Q)
|
68% |
2819
54.5 IPS |
