System manufacturer System Product Name
Geekbench AI Score
21809
Single Precision Score
39407
Half Precision Score
17063
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | kaloryfer |
| Upload Date | August 05 2025 06:11 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| 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 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9090
1.69 KIPS |
|
|
Image Classification (HP)
|
100% |
15552
2.89 KIPS |
|
|
Image Classification (Q)
|
100% |
8386
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15738
255.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22499
364.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
14306
232.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
120740
140.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
382085
445.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
112966
132.3 IPS |
|
|
Object Detection (SP)
|
100% |
11314
897.4 IPS |
|
|
Object Detection (HP)
|
100% |
19841
1.57 KIPS |
|
|
Object Detection (Q)
|
83% |
9734
786.5 IPS |
|
|
Face Detection (SP)
|
100% |
29139
346.2 IPS |
|
|
Face Detection (HP)
|
100% |
47547
565.0 IPS |
|
|
Face Detection (Q)
|
97% |
25501
304.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
53549
412.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
108530
836.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
42883
342.3 IPS |
|
|
Style Transfer (SP)
|
100% |
168893
217.1 IPS |
|
|
Style Transfer (HP)
|
100% |
570813
733.8 IPS |
|
|
Style Transfer (Q)
|
98% |
149034
192.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31888
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59630
2.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24321
900.6 IPS |
|
|
Text Classification (SP)
|
100% |
3144
4.20 KIPS |
|
|
Text Classification (HP)
|
100% |
3827
5.11 KIPS |
|
|
Text Classification (Q)
|
97% |
2079
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4715
81.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5066
87.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1925
36.1 IPS |
