System manufacturer System Product Name
Geekbench AI Score
2564
Single Precision Score
1122
Half Precision Score
2930
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | kaloryfer |
| Upload Date | July 28 2025 07:31 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X570-P |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1996
371.2 IPS |
|
|
Image Classification (HP)
|
100% |
413
76.7 IPS |
|
|
Image Classification (Q)
|
96% |
2839
530.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1107
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
501
8.12 IPS |
|
|
Image Segmentation (Q)
|
97% |
2853
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5232
6.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
4075
4.76 IPS |
|
|
Pose Estimation (Q)
|
86% |
6943
8.21 IPS |
|
|
Object Detection (SP)
|
100% |
1880
149.1 IPS |
|
|
Object Detection (HP)
|
100% |
519
41.2 IPS |
|
|
Object Detection (Q)
|
58% |
1839
200.9 IPS |
|
|
Face Detection (SP)
|
100% |
4233
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
1074
12.8 IPS |
|
|
Face Detection (Q)
|
96% |
5615
67.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5833
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1665
12.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
7032
56.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12203
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10208
13.1 IPS |
|
|
Style Transfer (Q)
|
87% |
13151
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1507
55.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1399
51.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1811
67.1 IPS |
|
|
Text Classification (SP)
|
100% |
874
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
462
617.0 IPS |
|
|
Text Classification (Q)
|
97% |
316
423.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1428
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
617
10.6 IPS |
|
|
Machine Translation (Q)
|
68% |
1520
29.4 IPS |
