System manufacturer System Product Name
Geekbench AI Score
3808
Single Precision Score
1535
Half Precision Score
6670
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Lida289 |
| Upload Date | December 15 2025 02:25 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS (WI-FI) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3030
563.6 IPS |
|
|
Image Classification (HP)
|
100% |
544
101.1 IPS |
|
|
Image Classification (Q)
|
96% |
5515
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1840
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
780
12.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
8586
139.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8115
9.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
5749
6.71 IPS |
|
|
Pose Estimation (Q)
|
86% |
19895
23.5 IPS |
|
|
Object Detection (SP)
|
100% |
2737
217.1 IPS |
|
|
Object Detection (HP)
|
100% |
666
52.8 IPS |
|
|
Object Detection (Q)
|
58% |
4689
512.3 IPS |
|
|
Face Detection (SP)
|
100% |
6071
72.1 IPS |
|
|
Face Detection (HP)
|
100% |
1449
17.2 IPS |
|
|
Face Detection (Q)
|
96% |
9972
119.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9048
69.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2199
16.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
14898
118.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18197
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14844
19.1 IPS |
|
|
Style Transfer (Q)
|
87% |
20912
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2054
75.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1743
64.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3861
143.1 IPS |
|
|
Text Classification (SP)
|
100% |
1288
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
635
847.3 IPS |
|
|
Text Classification (Q)
|
97% |
1228
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1959
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
856
14.7 IPS |
|
|
Machine Translation (Q)
|
68% |
2679
51.8 IPS |
