iPad13,17
Geekbench ML Score
3519
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | croman247 |
| Upload Date | October 06 2025 02:55 AM |
| Views | 9 |
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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1972
368.9 IPS |
|
|
Image Classification (F16)
|
100% |
1993
373.0 IPS |
|
|
Image Classification (I8)
|
99% |
1967
368.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
670
11.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
638
10.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
622
10.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
16861
20.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
18300
22.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
17222
20.9 IPS |
|
|
Object Detection (F32)
|
100% |
1534
114.5 IPS |
|
|
Object Detection (F16)
|
100% |
1546
115.4 IPS |
|
|
Object Detection (I8)
|
97% |
1887
140.9 IPS |
|
|
Face Detection (F32)
|
100% |
6458
76.8 IPS |
|
|
Face Detection (F16)
|
97% |
7793
92.7 IPS |
|
|
Face Detection (I8)
|
96% |
7921
94.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
12069
93.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
13520
104.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
13232
102.6 IPS |
|
|
Style Transfer (F32)
|
100% |
27779
36.5 IPS |
|
|
Style Transfer (F16)
|
100% |
30654
40.3 IPS |
|
|
Style Transfer (I8)
|
100% |
32015
42.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4497
160.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5108
182.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5312
189.7 IPS |
|
|
Text Classification (F32)
|
100% |
523
752.2 IPS |
|
|
Text Classification (F16)
|
100% |
515
740.5 IPS |
|
|
Text Classification (I8)
|
96% |
509
731.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1075
19.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1107
20.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1083
19.9 IPS |
