Geekbench ML Score

17409
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2

Result Information

Upload Date February 20 2025 06:58 PM
Views 6

System Information

System Information
Operating System Microsoft Windows 11 Pro (64-bit)
Model ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA
Motherboard ASUSTeK COMPUTER INC. GZ302EA
Power PlanPerformance
CPU Information
Name AMD RYZEN AI MAX+ 395 w/ Radeon 8060S
Topology 1 Processor, 16 Cores, 32 Threads
Identifier AuthenticAMD Family 26 Model 112 Stepping 0
Base Frequency 3.00 GHz
Cluster 116 Cores
L1 Instruction Cache32.0 KB x 16
L1 Data Cache48.0 KB x 16
L2 Cache1.00 MB x 16
L3 Cache32.0 MB x 2
Memory Information
Size 32.00 GB
Inference Information
Framework ONNX
Backend DirectML
Device AMD Radeon(TM) 8060S Graphics

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 8938
1.67 KIPS
 
Image Classification (F16)
100% 8861
1.66 KIPS
 
Image Classification (I8)
100% 7810
1.46 KIPS
 
Image Segmentation (F32)
100% 15507
259.0 IPS
 
Image Segmentation (F16)
100% 14601
243.9 IPS
 
Image Segmentation (I8)
98% 13098
218.8 IPS
 
Pose Estimation (F32)
100% 91639
111.0 IPS
 
Pose Estimation (F16)
100% 88394
107.0 IPS
 
Pose Estimation (I8)
100% 80460
97.4 IPS
 
Object Detection (F32)
100% 4323
322.8 IPS
 
Object Detection (F16)
100% 4003
298.8 IPS
 
Object Detection (I8)
62% 4138
308.9 IPS
 
Face Detection (F32)
100% 22860
271.8 IPS
 
Face Detection (F16)
100% 20038
238.3 IPS
 
Face Detection (I8)
89% 15221
181.0 IPS
 
Depth Estimation (F32)
100% 42734
331.4 IPS
 
Depth Estimation (F16)
100% 43240
335.3 IPS
 
Depth Estimation (I8)
95% 36965
286.7 IPS
 
Style Transfer (F32)
100% 166781
219.4 IPS
 
Style Transfer (F16)
100% 164562
216.5 IPS
 
Style Transfer (I8)
98% 144435
190.0 IPS
 
Image Super-Resolution (F32)
100% 30558
1.09 KIPS
 
Image Super-Resolution (F16)
100% 31984
1.14 KIPS
 
Image Super-Resolution (I8)
99% 25123
897.2 IPS
 
Text Classification (F32)
100% 3856
5.54 KIPS
 
Text Classification (F16)
100% 3854
5.54 KIPS
 
Text Classification (I8)
98% 2586
3.72 KIPS
 
Machine Translation (F32)
100% 5758
106.0 IPS
 
Machine Translation (F16)
100% 5839
107.5 IPS
 
Machine Translation (I8)
70% 3262
60.0 IPS
 

Compare

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