iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
6923
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 29 2024 08:16 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1699
318.0 IPS |
|
|
Image Classification (F16)
|
100% |
6163
1.15 KIPS |
|
|
Image Classification (I8)
|
99% |
6402
1.20 KIPS |
|
|
Image Segmentation (F32)
|
100% |
823
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
3975
66.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
3945
65.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
16180
19.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
62880
76.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
64678
78.3 IPS |
|
|
Object Detection (F32)
|
100% |
1507
112.5 IPS |
|
|
Object Detection (F16)
|
100% |
3704
276.5 IPS |
|
|
Object Detection (I8)
|
97% |
1470
109.7 IPS |
|
|
Face Detection (F32)
|
100% |
5885
70.0 IPS |
|
|
Face Detection (F16)
|
97% |
11645
138.5 IPS |
|
|
Face Detection (I8)
|
96% |
11785
140.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
12200
94.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
39352
305.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
46121
357.7 IPS |
|
|
Style Transfer (F32)
|
100% |
27305
35.9 IPS |
|
|
Style Transfer (F16)
|
100% |
112363
147.8 IPS |
|
|
Style Transfer (I8)
|
100% |
118715
156.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4925
175.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17940
640.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18014
643.3 IPS |
|
|
Text Classification (F32)
|
100% |
1177
1.69 KIPS |
|
|
Text Classification (F16)
|
100% |
2526
3.63 KIPS |
|
|
Text Classification (I8)
|
96% |
2226
3.20 KIPS |
|
|
Machine Translation (F32)
|
100% |
536
9.87 IPS |
|
|
Machine Translation (F16)
|
100% |
1737
32.0 IPS |
|
|
Machine Translation (I8)
|
99% |
543
10.00 IPS |
