Generic
Geekbench AI Score
11381
Single Precision Score
19398
Half Precision Score
7997
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | malasa |
| Upload Date | August 16 2024 02:04 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X570 Pro4 |
| Power Plan | Balanced |
| 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% |
4821
896.5 IPS |
|
|
Image Classification (HP)
|
100% |
8148
1.52 KIPS |
|
|
Image Classification (Q)
|
100% |
3704
688.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7980
129.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10905
176.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6643
108.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
52096
60.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
180979
211.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
44562
52.2 IPS |
|
|
Object Detection (SP)
|
100% |
5732
454.7 IPS |
|
|
Object Detection (HP)
|
100% |
9729
771.7 IPS |
|
|
Object Detection (Q)
|
89% |
4468
357.6 IPS |
|
|
Face Detection (SP)
|
100% |
13033
154.9 IPS |
|
|
Face Detection (HP)
|
100% |
19920
236.7 IPS |
|
|
Face Detection (Q)
|
97% |
10187
121.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
28473
219.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
52194
402.1 IPS |
|
|
Depth Estimation (Q)
|
74% |
20103
163.5 IPS |
|
|
Style Transfer (SP)
|
100% |
96188
123.7 IPS |
|
|
Style Transfer (HP)
|
100% |
228764
294.1 IPS |
|
|
Style Transfer (Q)
|
98% |
82706
106.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17712
654.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28499
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10983
406.7 IPS |
|
|
Text Classification (SP)
|
100% |
1796
2.40 KIPS |
|
|
Text Classification (HP)
|
99% |
2539
3.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1099
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2795
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2802
48.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1069
23.8 IPS |
