Generic
Geekbench AI Score
2505
Single Precision Score
1108
Half Precision Score
2969
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 06 2025 05:05 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro for Workstations (64-bit) |
| Model | Generic |
| Motherboard | ASRock X570 Extreme4 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1927
358.3 IPS |
|
|
Image Classification (HP)
|
100% |
418
77.7 IPS |
|
|
Image Classification (Q)
|
96% |
3065
572.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
864
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
480
7.78 IPS |
|
|
Image Segmentation (Q)
|
97% |
3197
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8097
9.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
4740
5.53 IPS |
|
|
Pose Estimation (Q)
|
86% |
8470
10.0 IPS |
|
|
Object Detection (SP)
|
100% |
1750
138.8 IPS |
|
|
Object Detection (HP)
|
100% |
479
38.0 IPS |
|
|
Object Detection (Q)
|
58% |
1922
210.0 IPS |
|
|
Face Detection (SP)
|
100% |
3656
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
988
11.7 IPS |
|
|
Face Detection (Q)
|
96% |
5517
65.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5166
39.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1651
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
6877
54.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13253
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12238
15.7 IPS |
|
|
Style Transfer (Q)
|
87% |
12161
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1568
57.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1297
47.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1673
62.0 IPS |
|
|
Text Classification (SP)
|
100% |
775
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
425
567.5 IPS |
|
|
Text Classification (Q)
|
97% |
311
416.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1356
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
559
9.63 IPS |
|
|
Machine Translation (Q)
|
68% |
1394
26.9 IPS |
