iPad Pro (11-inch, 4th generation)
Geekbench ML Score
7441
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 11:48 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPad Pro (11-inch, 4th generation) |
| Model ID | iPad14,3 |
| Motherboard | J617AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 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 | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3373
631.2 IPS |
|
|
Image Classification (F16)
|
100% |
8117
1.52 KIPS |
|
|
Image Classification (I8)
|
99% |
6765
1.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1416
23.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1569
26.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1582
26.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
22738
27.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
82142
99.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
84646
102.5 IPS |
|
|
Object Detection (F32)
|
100% |
2823
210.7 IPS |
|
|
Object Detection (F16)
|
100% |
3776
281.9 IPS |
|
|
Object Detection (I8)
|
97% |
2586
193.1 IPS |
|
|
Face Detection (F32)
|
100% |
9270
110.2 IPS |
|
|
Face Detection (F16)
|
97% |
10755
127.9 IPS |
|
|
Face Detection (I8)
|
96% |
10692
127.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
15999
124.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
36705
284.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
35573
275.9 IPS |
|
|
Style Transfer (F32)
|
100% |
39761
52.3 IPS |
|
|
Style Transfer (F16)
|
100% |
129587
170.5 IPS |
|
|
Style Transfer (I8)
|
100% |
133721
175.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9532
340.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18418
657.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18338
654.9 IPS |
|
|
Text Classification (F32)
|
100% |
1108
1.59 KIPS |
|
|
Text Classification (F16)
|
100% |
744
1.07 KIPS |
|
|
Text Classification (I8)
|
96% |
742
1.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
802
14.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2671
49.1 IPS |
|
|
Machine Translation (I8)
|
99% |
769
14.2 IPS |
