Geekbench AI Score

12677
Single Precision Score
14274
Half Precision Score
9955
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2

Result Information

User frank_m_h_jaeger
Upload Date August 18 2024 11:46 AM
Views 7

System Information

AI Information
Framework ONNX
Backend DirectML
Device AMD Radeon RX 6600
System Information
Operating System Microsoft Windows 11 Home (64-bit)
Model Micro-Star International Co., Ltd. MS-7C88
Motherboard Micro-Star International Co., Ltd. B460M-A PRO (MS-7C88)
Power PlanAusbalanciert
CPU Information
Name Intel Core i9-10900
Topology 1 Processor, 10 Cores, 20 Threads
Identifier GenuineIntel Family 6 Model 165 Stepping 5
Base Frequency 2.81 GHz
Cluster 110 Cores
Memory Information
Size 16.00 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
100% 5822
1.08 KIPS
 
Image Classification (HP)
100% 5494
1.02 KIPS
 
Image Classification (Q)
100% 4873
906.2 IPS
 
Image Segmentation (SP)
100% 7487
121.4 IPS
 
Image Segmentation (HP)
100% 6264
101.5 IPS
 
Image Segmentation (Q)
98% 6755
109.8 IPS
 
Pose Estimation (SP)
100% 71185
83.1 IPS
 
Pose Estimation (HP)
100% 117868
137.5 IPS
 
Pose Estimation (Q)
96% 61135
71.6 IPS
 
Object Detection (SP)
100% 4806
381.2 IPS
 
Object Detection (HP)
100% 5831
462.5 IPS
 
Object Detection (Q)
89% 4154
332.5 IPS
 
Face Detection (SP)
100% 14306
170.0 IPS
 
Face Detection (HP)
100% 17067
202.8 IPS
 
Face Detection (Q)
97% 11055
131.8 IPS
 
Depth Estimation (SP)
100% 34048
262.3 IPS
 
Depth Estimation (HP)
99% 40437
311.5 IPS
 
Depth Estimation (Q)
73% 25308
206.6 IPS
 
Style Transfer (SP)
100% 139878
179.8 IPS
 
Style Transfer (HP)
100% 182138
234.1 IPS
 
Style Transfer (Q)
98% 117237
151.2 IPS
 
Image Super-Resolution (SP)
100% 23276
859.5 IPS
 
Image Super-Resolution (HP)
100% 28180
1.04 KIPS
 
Image Super-Resolution (Q)
99% 17039
630.9 IPS
 
Text Classification (SP)
100% 2280
3.04 KIPS
 
Text Classification (HP)
100% 2392
3.19 KIPS
 
Text Classification (Q)
97% 1580
2.12 KIPS
 
Machine Translation (SP)
100% 1989
34.3 IPS
 
Machine Translation (HP)
100% 1753
30.2 IPS
 
Machine Translation (Q)
60% 1295
28.9 IPS
 

Compare

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