System manufacturer System Product Name
Geekbench AI Score
2450
Single Precision Score
1072
Half Precision Score
2890
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | kaloryfer |
| Upload Date | July 31 2025 01:43 PM |
| Views | 8 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1900
353.3 IPS |
|
|
Image Classification (HP)
|
100% |
396
73.6 IPS |
|
|
Image Classification (Q)
|
96% |
2949
550.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1027
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
463
7.50 IPS |
|
|
Image Segmentation (Q)
|
97% |
2830
46.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5631
6.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
4064
4.74 IPS |
|
|
Pose Estimation (Q)
|
86% |
7407
8.76 IPS |
|
|
Object Detection (SP)
|
100% |
1741
138.1 IPS |
|
|
Object Detection (HP)
|
100% |
493
39.1 IPS |
|
|
Object Detection (Q)
|
58% |
1978
216.1 IPS |
|
|
Face Detection (SP)
|
100% |
3939
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
1030
12.2 IPS |
|
|
Face Detection (Q)
|
96% |
5596
66.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5443
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1612
12.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
6753
53.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12491
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10570
13.6 IPS |
|
|
Style Transfer (Q)
|
87% |
12333
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1404
51.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1287
47.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1571
58.2 IPS |
|
|
Text Classification (SP)
|
100% |
819
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
428
571.4 IPS |
|
|
Text Classification (Q)
|
97% |
309
413.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1324
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
567
9.77 IPS |
|
|
Machine Translation (Q)
|
68% |
1470
28.4 IPS |
