iPad13,17
Geekbench ML Score
6638
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | croman247 |
| Upload Date | October 06 2025 03:00 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3 |
| Model | iPad13,17 |
| Model ID | iPad13,17 |
| Motherboard | J408AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2256
422.2 IPS |
|
|
Image Classification (F16)
|
100% |
7024
1.31 KIPS |
|
|
Image Classification (I8)
|
99% |
7095
1.33 KIPS |
|
|
Image Segmentation (F32)
|
100% |
677
11.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
3857
64.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
3858
64.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
16003
19.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
63632
77.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
64899
78.6 IPS |
|
|
Object Detection (F32)
|
100% |
1656
123.6 IPS |
|
|
Object Detection (F16)
|
100% |
4940
368.8 IPS |
|
|
Object Detection (I8)
|
97% |
1609
120.1 IPS |
|
|
Face Detection (F32)
|
100% |
6564
78.1 IPS |
|
|
Face Detection (F16)
|
97% |
11621
138.2 IPS |
|
|
Face Detection (I8)
|
96% |
11588
137.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
11911
92.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
36920
286.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
37120
287.9 IPS |
|
|
Style Transfer (F32)
|
100% |
26004
34.2 IPS |
|
|
Style Transfer (F16)
|
100% |
87442
115.0 IPS |
|
|
Style Transfer (I8)
|
100% |
88483
116.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6280
224.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14341
512.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
14268
509.6 IPS |
|
|
Text Classification (F32)
|
100% |
516
741.5 IPS |
|
|
Text Classification (F16)
|
100% |
1054
1.52 KIPS |
|
|
Text Classification (I8)
|
96% |
1139
1.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
1071
19.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1755
32.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1072
19.7 IPS |
