System manufacturer System Product Name
Geekbench AI Score
21326
Single Precision Score
37766
Half Precision Score
16876
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | kaloryfer |
| Upload Date | July 31 2025 01:46 PM |
| Views | 7 |
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% |
8922
1.66 KIPS |
|
|
Image Classification (HP)
|
100% |
15184
2.82 KIPS |
|
|
Image Classification (Q)
|
100% |
8211
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15074
244.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21204
343.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
13860
225.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
122777
143.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
378927
442.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
114432
134.0 IPS |
|
|
Object Detection (SP)
|
100% |
11082
879.0 IPS |
|
|
Object Detection (HP)
|
100% |
18844
1.49 KIPS |
|
|
Object Detection (Q)
|
83% |
9536
770.5 IPS |
|
|
Face Detection (SP)
|
100% |
28848
342.8 IPS |
|
|
Face Detection (HP)
|
100% |
45147
536.4 IPS |
|
|
Face Detection (Q)
|
97% |
25339
302.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
53668
413.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
106796
822.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
43271
345.4 IPS |
|
|
Style Transfer (SP)
|
100% |
170321
219.0 IPS |
|
|
Style Transfer (HP)
|
100% |
553550
711.6 IPS |
|
|
Style Transfer (Q)
|
98% |
149149
192.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30748
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55463
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24371
902.4 IPS |
|
|
Text Classification (SP)
|
100% |
2975
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3563
4.76 KIPS |
|
|
Text Classification (Q)
|
97% |
2002
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4409
76.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4868
83.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1891
35.5 IPS |
