iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
6781
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 16 2024 02:49 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,10 |
| Motherboard | J523AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 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 | 7.31 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1271
237.9 IPS |
|
|
Image Classification (F16)
|
100% |
6166
1.15 KIPS |
|
|
Image Classification (I8)
|
99% |
6285
1.18 KIPS |
|
|
Image Segmentation (F32)
|
100% |
829
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
3993
66.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
3890
65.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
16569
20.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
62816
76.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
62637
75.9 IPS |
|
|
Object Detection (F32)
|
100% |
1533
114.4 IPS |
|
|
Object Detection (F16)
|
100% |
3739
279.2 IPS |
|
|
Object Detection (I8)
|
97% |
1520
113.4 IPS |
|
|
Face Detection (F32)
|
100% |
5835
69.4 IPS |
|
|
Face Detection (F16)
|
97% |
11667
138.7 IPS |
|
|
Face Detection (I8)
|
96% |
11683
138.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
12169
94.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
37442
290.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
36736
284.9 IPS |
|
|
Style Transfer (F32)
|
100% |
27740
36.5 IPS |
|
|
Style Transfer (F16)
|
100% |
112592
148.1 IPS |
|
|
Style Transfer (I8)
|
100% |
117642
154.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5022
179.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18064
645.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17985
642.3 IPS |
|
|
Text Classification (F32)
|
100% |
1167
1.68 KIPS |
|
|
Text Classification (F16)
|
100% |
2318
3.33 KIPS |
|
|
Text Classification (I8)
|
96% |
2223
3.19 KIPS |
|
|
Machine Translation (F32)
|
100% |
536
9.87 IPS |
|
|
Machine Translation (F16)
|
100% |
1718
31.6 IPS |
|
|
Machine Translation (I8)
|
99% |
547
10.1 IPS |
