System manufacturer System Product Name
Geekbench AI Score
3478
Single Precision Score
1483
Half Precision Score
5482
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 08:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS (WI-FI) |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2513
467.4 IPS |
|
|
Image Classification (HP)
|
100% |
506
94.1 IPS |
|
|
Image Classification (Q)
|
96% |
4992
932.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1466
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
714
11.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
6539
106.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8524
9.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
6095
7.11 IPS |
|
|
Pose Estimation (Q)
|
86% |
16717
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2569
203.7 IPS |
|
|
Object Detection (HP)
|
100% |
652
51.7 IPS |
|
|
Object Detection (Q)
|
58% |
3856
421.3 IPS |
|
|
Face Detection (SP)
|
100% |
5079
60.3 IPS |
|
|
Face Detection (HP)
|
100% |
1313
15.6 IPS |
|
|
Face Detection (Q)
|
96% |
8175
97.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7824
60.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2107
16.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
11661
93.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16729
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15682
20.2 IPS |
|
|
Style Transfer (Q)
|
87% |
15040
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1895
70.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1689
62.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3137
116.2 IPS |
|
|
Text Classification (SP)
|
100% |
1224
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
601
801.9 IPS |
|
|
Text Classification (Q)
|
97% |
991
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2086
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (Q)
|
68% |
2616
50.5 IPS |
