Generic
Geekbench AI Score
4406
Single Precision Score
1726
Half Precision Score
6374
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | vassourabfc |
| Upload Date | November 14 2025 10:55 PM |
| Views | 2 |
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% |
3241
602.6 IPS |
|
|
Image Classification (HP)
|
100% |
597
111.0 IPS |
|
|
Image Classification (Q)
|
96% |
5370
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2043
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
846
13.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
7711
125.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9451
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
6576
7.67 IPS |
|
|
Pose Estimation (Q)
|
86% |
17676
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
3497
277.4 IPS |
|
|
Object Detection (HP)
|
100% |
767
60.9 IPS |
|
|
Object Detection (Q)
|
58% |
4378
478.3 IPS |
|
|
Face Detection (SP)
|
100% |
7420
88.2 IPS |
|
|
Face Detection (HP)
|
100% |
1620
19.3 IPS |
|
|
Face Detection (Q)
|
96% |
9557
114.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10198
78.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2464
19.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
13942
111.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19473
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16901
21.7 IPS |
|
|
Style Transfer (Q)
|
87% |
20901
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2440
90.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2005
74.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3490
129.3 IPS |
|
|
Text Classification (SP)
|
100% |
1476
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
717
956.5 IPS |
|
|
Text Classification (Q)
|
97% |
1200
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2378
41.0 IPS |
|
|
Machine Translation (HP)
|
100% |
955
16.5 IPS |
|
|
Machine Translation (Q)
|
68% |
2966
57.3 IPS |
