System manufacturer System Product Name
Geekbench AI Score
21587
Single Precision Score
38309
Half Precision Score
16969
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | kaloryfer |
| Upload Date | July 29 2025 11:43 AM |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8919
1.66 KIPS |
|
|
Image Classification (HP)
|
100% |
15270
2.84 KIPS |
|
|
Image Classification (Q)
|
100% |
8230
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15478
250.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21952
355.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
14172
230.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
122888
143.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
379147
442.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
114799
134.5 IPS |
|
|
Object Detection (SP)
|
100% |
11182
887.0 IPS |
|
|
Object Detection (HP)
|
100% |
19173
1.52 KIPS |
|
|
Object Detection (Q)
|
83% |
9645
779.3 IPS |
|
|
Face Detection (SP)
|
100% |
29131
346.1 IPS |
|
|
Face Detection (HP)
|
100% |
45478
540.4 IPS |
|
|
Face Detection (Q)
|
97% |
25432
303.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
53915
415.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
107161
825.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
43459
346.9 IPS |
|
|
Style Transfer (SP)
|
100% |
171733
220.8 IPS |
|
|
Style Transfer (HP)
|
100% |
560067
720.0 IPS |
|
|
Style Transfer (Q)
|
98% |
149056
192.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31290
1.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57085
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24208
896.4 IPS |
|
|
Text Classification (SP)
|
100% |
3011
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3556
4.75 KIPS |
|
|
Text Classification (Q)
|
97% |
2008
2.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4559
78.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5043
86.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1915
35.9 IPS |
