iPad Pro (11-inch, 4th generation)
Geekbench ML Score
7409
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 09:42 AM |
| Views | 8 |
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% |
3380
632.5 IPS |
|
|
Image Classification (F16)
|
100% |
6473
1.21 KIPS |
|
|
Image Classification (I8)
|
99% |
6781
1.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1456
24.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1582
26.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1626
27.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23509
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
79932
96.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
84411
102.2 IPS |
|
|
Object Detection (F32)
|
100% |
2840
212.0 IPS |
|
|
Object Detection (F16)
|
100% |
3722
277.9 IPS |
|
|
Object Detection (I8)
|
97% |
2611
194.9 IPS |
|
|
Face Detection (F32)
|
100% |
9338
111.0 IPS |
|
|
Face Detection (F16)
|
97% |
10638
126.5 IPS |
|
|
Face Detection (I8)
|
96% |
10654
126.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16449
127.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
39833
308.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
35995
279.1 IPS |
|
|
Style Transfer (F32)
|
100% |
40382
53.1 IPS |
|
|
Style Transfer (F16)
|
100% |
131098
172.4 IPS |
|
|
Style Transfer (I8)
|
100% |
129460
170.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9522
340.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18002
642.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18486
660.2 IPS |
|
|
Text Classification (F32)
|
100% |
1119
1.61 KIPS |
|
|
Text Classification (F16)
|
100% |
741
1.06 KIPS |
|
|
Text Classification (I8)
|
96% |
740
1.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
788
14.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2600
47.8 IPS |
|
|
Machine Translation (I8)
|
99% |
749
13.8 IPS |
