iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
6827
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 01:11 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,11 |
| Motherboard | J523xAP |
| 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 | 15.31 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1257
235.2 IPS |
|
|
Image Classification (F16)
|
100% |
6157
1.15 KIPS |
|
|
Image Classification (I8)
|
99% |
6402
1.20 KIPS |
|
|
Image Segmentation (F32)
|
100% |
821
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
3879
64.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
3895
65.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
16416
19.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
62992
76.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
65077
78.8 IPS |
|
|
Object Detection (F32)
|
100% |
1448
108.1 IPS |
|
|
Object Detection (F16)
|
100% |
3597
268.6 IPS |
|
|
Object Detection (I8)
|
97% |
1560
116.5 IPS |
|
|
Face Detection (F32)
|
100% |
5795
68.9 IPS |
|
|
Face Detection (F16)
|
97% |
11635
138.3 IPS |
|
|
Face Detection (I8)
|
96% |
11470
136.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
12158
94.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
37045
287.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
45860
355.6 IPS |
|
|
Style Transfer (F32)
|
100% |
26614
35.0 IPS |
|
|
Style Transfer (F16)
|
100% |
112714
148.3 IPS |
|
|
Style Transfer (I8)
|
100% |
120666
158.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5797
207.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18085
645.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18027
643.8 IPS |
|
|
Text Classification (F32)
|
100% |
1155
1.66 KIPS |
|
|
Text Classification (F16)
|
100% |
2241
3.22 KIPS |
|
|
Text Classification (I8)
|
96% |
2314
3.33 KIPS |
|
|
Machine Translation (F32)
|
100% |
527
9.70 IPS |
|
|
Machine Translation (F16)
|
100% |
1719
31.6 IPS |
|
|
Machine Translation (I8)
|
99% |
536
9.86 IPS |
