iPad Pro (11-inch, 4th generation)
Geekbench ML Score
5240
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 03:57 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3377
632.0 IPS |
|
|
Image Classification (F16)
|
100% |
3401
636.5 IPS |
|
|
Image Classification (I8)
|
99% |
3020
565.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1441
24.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1560
26.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1516
25.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
23496
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
25028
30.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
24400
29.5 IPS |
|
|
Object Detection (F32)
|
100% |
2850
212.8 IPS |
|
|
Object Detection (F16)
|
100% |
2843
212.3 IPS |
|
|
Object Detection (I8)
|
97% |
2627
196.1 IPS |
|
|
Face Detection (F32)
|
100% |
9340
111.1 IPS |
|
|
Face Detection (F16)
|
98% |
10566
125.6 IPS |
|
|
Face Detection (I8)
|
97% |
10142
120.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16347
126.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
17338
134.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
15935
123.6 IPS |
|
|
Style Transfer (F32)
|
100% |
40277
53.0 IPS |
|
|
Style Transfer (F16)
|
100% |
46814
61.6 IPS |
|
|
Style Transfer (I8)
|
100% |
43020
56.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9591
342.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10210
364.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9613
343.3 IPS |
|
|
Text Classification (F32)
|
100% |
1131
1.63 KIPS |
|
|
Text Classification (F16)
|
100% |
752
1.08 KIPS |
|
|
Text Classification (I8)
|
96% |
754
1.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
796
14.7 IPS |
|
|
Machine Translation (F16)
|
100% |
807
14.8 IPS |
|
|
Machine Translation (I8)
|
99% |
743
13.7 IPS |
