AMD
Geekbench AI Score
20101
Single Precision Score
33422
Half Precision Score
16043
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Namelessmint |
| Upload Date | November 15 2025 02:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AMD |
| Motherboard | AMD A520 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600GT |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8211
1.53 KIPS |
|
|
Image Classification (HP)
|
100% |
12860
2.39 KIPS |
|
|
Image Classification (Q)
|
100% |
7660
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12369
200.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15800
256.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11490
186.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
124857
145.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
369654
431.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
116034
135.9 IPS |
|
|
Object Detection (SP)
|
100% |
10106
801.6 IPS |
|
|
Object Detection (HP)
|
100% |
15840
1.26 KIPS |
|
|
Object Detection (Q)
|
83% |
8890
718.3 IPS |
|
|
Face Detection (SP)
|
100% |
25036
297.5 IPS |
|
|
Face Detection (HP)
|
100% |
35898
426.5 IPS |
|
|
Face Detection (Q)
|
97% |
22324
266.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
53653
413.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
105771
814.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
43919
350.5 IPS |
|
|
Style Transfer (SP)
|
100% |
174961
224.9 IPS |
|
|
Style Transfer (HP)
|
100% |
536001
689.0 IPS |
|
|
Style Transfer (Q)
|
98% |
150809
194.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32034
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54011
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24621
911.7 IPS |
|
|
Text Classification (SP)
|
100% |
3000
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3491
4.66 KIPS |
|
|
Text Classification (Q)
|
97% |
2011
2.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3722
64.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3810
65.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1700
31.9 IPS |
