System manufacturer System Product Name
Geekbench AI Score
21439
Single Precision Score
38207
Half Precision Score
16860
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | kaloryfer |
| Upload Date | July 31 2025 02:00 PM |
| Views | 5 |
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 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% |
8862
1.65 KIPS |
|
|
Image Classification (HP)
|
100% |
15291
2.84 KIPS |
|
|
Image Classification (Q)
|
100% |
8198
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15202
246.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21603
350.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
14000
227.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
121116
141.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
378551
441.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
113189
132.6 IPS |
|
|
Object Detection (SP)
|
100% |
11138
883.5 IPS |
|
|
Object Detection (HP)
|
100% |
19198
1.52 KIPS |
|
|
Object Detection (Q)
|
83% |
9591
774.9 IPS |
|
|
Face Detection (SP)
|
100% |
28893
343.3 IPS |
|
|
Face Detection (HP)
|
100% |
45229
537.4 IPS |
|
|
Face Detection (Q)
|
97% |
25233
300.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
53780
414.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
107189
825.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
42935
342.7 IPS |
|
|
Style Transfer (SP)
|
100% |
169557
218.0 IPS |
|
|
Style Transfer (HP)
|
100% |
557686
716.9 IPS |
|
|
Style Transfer (Q)
|
98% |
147812
190.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31164
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56592
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24145
894.1 IPS |
|
|
Text Classification (SP)
|
100% |
3051
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3613
4.82 KIPS |
|
|
Text Classification (Q)
|
97% |
2041
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4507
77.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4995
86.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1888
35.4 IPS |
