iPad Pro (11-inch 3rd generation)
Geekbench ML Score
3679
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 19 2024 06:03 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| 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 | 7.37 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1480
276.9 IPS |
|
|
Image Classification (F16)
|
100% |
1145
214.2 IPS |
|
|
Image Classification (I8)
|
99% |
1199
224.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
840
14.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
882
14.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
862
14.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
16140
19.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
17912
21.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
17451
21.1 IPS |
|
|
Object Detection (F32)
|
100% |
1446
108.0 IPS |
|
|
Object Detection (F16)
|
100% |
1443
107.7 IPS |
|
|
Object Detection (I8)
|
97% |
1331
99.3 IPS |
|
|
Face Detection (F32)
|
100% |
5945
70.7 IPS |
|
|
Face Detection (F16)
|
98% |
7039
83.7 IPS |
|
|
Face Detection (I8)
|
97% |
7275
86.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
11854
91.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
13421
104.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
13130
101.8 IPS |
|
|
Style Transfer (F32)
|
100% |
28347
37.3 IPS |
|
|
Style Transfer (F16)
|
100% |
30610
40.3 IPS |
|
|
Style Transfer (I8)
|
100% |
31802
41.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4788
171.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4945
176.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5060
180.7 IPS |
|
|
Text Classification (F32)
|
100% |
2043
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3320
4.77 KIPS |
|
|
Text Classification (I8)
|
96% |
3364
4.83 KIPS |
|
|
Machine Translation (F32)
|
100% |
467
8.60 IPS |
|
|
Machine Translation (F16)
|
100% |
466
8.58 IPS |
|
|
Machine Translation (I8)
|
99% |
495
9.11 IPS |
