Generic
Geekbench AI Score
2949
Single Precision Score
4241
Half Precision Score
2112
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | kinski |
| Upload Date | August 20 2024 02:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X300M-STX |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 4750G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1032
192.0 IPS |
|
|
Image Classification (HP)
|
100% |
1528
284.2 IPS |
|
|
Image Classification (Q)
|
99% |
872
162.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1315
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1731
28.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1117
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13683
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
24664
28.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
10607
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1177
93.3 IPS |
|
|
Object Detection (HP)
|
100% |
1663
131.9 IPS |
|
|
Object Detection (Q)
|
89% |
997
79.9 IPS |
|
|
Face Detection (SP)
|
100% |
2367
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
3649
43.4 IPS |
|
|
Face Detection (Q)
|
97% |
1847
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6978
53.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10611
81.7 IPS |
|
|
Depth Estimation (Q)
|
72% |
4913
40.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23314
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38839
49.9 IPS |
|
|
Style Transfer (Q)
|
98% |
17187
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4387
162.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6953
256.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2844
105.3 IPS |
|
|
Text Classification (SP)
|
100% |
974
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1073
1.43 KIPS |
|
|
Text Classification (Q)
|
97% |
688
921.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1387
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1550
26.7 IPS |
|
|
Machine Translation (Q)
|
60% |
562
12.7 IPS |
