Generic
Geekbench AI Score
13527
Single Precision Score
23265
Half Precision Score
9286
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Gully23 |
| Upload Date | April 30 2025 11:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock A320M-DGS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 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% |
5943
1.11 KIPS |
|
|
Image Classification (HP)
|
99% |
9557
1.78 KIPS |
|
|
Image Classification (Q)
|
99% |
4405
821.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
9491
153.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14780
239.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7773
126.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
69661
81.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
189397
221.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
51438
60.3 IPS |
|
|
Object Detection (SP)
|
100% |
6933
549.9 IPS |
|
|
Object Detection (HP)
|
100% |
12115
961.0 IPS |
|
|
Object Detection (Q)
|
84% |
5599
451.6 IPS |
|
|
Face Detection (SP)
|
100% |
15447
183.5 IPS |
|
|
Face Detection (HP)
|
100% |
25757
306.0 IPS |
|
|
Face Detection (Q)
|
97% |
12939
154.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
31702
244.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
64365
497.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
21959
175.8 IPS |
|
|
Style Transfer (SP)
|
100% |
110067
141.5 IPS |
|
|
Style Transfer (HP)
|
100% |
289526
372.2 IPS |
|
|
Style Transfer (Q)
|
98% |
88940
114.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19912
735.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33304
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12859
476.1 IPS |
|
|
Text Classification (SP)
|
100% |
2064
2.75 KIPS |
|
|
Text Classification (HP)
|
99% |
2572
3.43 KIPS |
|
|
Text Classification (Q)
|
97% |
1109
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3401
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3487
60.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1343
25.2 IPS |
