System manufacturer System Product Name
Geekbench AI Score
2758
Single Precision Score
1193
Half Precision Score
3286
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 01 2025 06:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X |
| System Information | |
|---|---|
| Operating System | Windows 10 (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B450-F GAMING |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.35 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2081
387.0 IPS |
|
|
Image Classification (HP)
|
100% |
459
85.4 IPS |
|
|
Image Classification (Q)
|
96% |
3278
612.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1020
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
525
8.51 IPS |
|
|
Image Segmentation (Q)
|
97% |
3156
51.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6438
7.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
4699
5.48 IPS |
|
|
Pose Estimation (Q)
|
86% |
8201
9.70 IPS |
|
|
Object Detection (SP)
|
100% |
2145
170.1 IPS |
|
|
Object Detection (HP)
|
100% |
539
42.8 IPS |
|
|
Object Detection (Q)
|
58% |
2144
234.3 IPS |
|
|
Face Detection (SP)
|
100% |
4680
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
1204
14.3 IPS |
|
|
Face Detection (Q)
|
96% |
6455
77.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6479
49.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1793
13.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
7872
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13814
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11071
14.2 IPS |
|
|
Style Transfer (Q)
|
87% |
14113
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1597
59.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1454
53.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1932
71.6 IPS |
|
|
Text Classification (SP)
|
100% |
843
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
451
601.5 IPS |
|
|
Text Classification (Q)
|
97% |
345
462.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1541
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
615
10.6 IPS |
|
|
Machine Translation (Q)
|
68% |
1690
32.7 IPS |
