iPad Pro (11-inch 3rd generation)
Geekbench ML Score
3363
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | saiht |
| Upload Date | July 25 2024 12:47 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,6 |
| Motherboard | J518AP |
| 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 | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1348
252.2 IPS |
|
|
Image Classification (F16)
|
100% |
1183
221.4 IPS |
|
|
Image Classification (I8)
|
99% |
1448
270.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
852
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
850
14.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
859
14.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
16402
19.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
17916
21.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
17548
21.3 IPS |
|
|
Object Detection (F32)
|
100% |
1561
116.5 IPS |
|
|
Object Detection (F16)
|
100% |
1449
108.1 IPS |
|
|
Object Detection (I8)
|
97% |
1528
114.1 IPS |
|
|
Face Detection (F32)
|
100% |
5885
70.0 IPS |
|
|
Face Detection (F16)
|
98% |
7239
86.1 IPS |
|
|
Face Detection (I8)
|
97% |
7268
86.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
12114
93.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
13654
105.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
12651
98.1 IPS |
|
|
Style Transfer (F32)
|
100% |
27261
35.9 IPS |
|
|
Style Transfer (F16)
|
100% |
31027
40.8 IPS |
|
|
Style Transfer (I8)
|
100% |
31946
42.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4883
174.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5300
189.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5277
188.4 IPS |
|
|
Text Classification (F32)
|
100% |
1168
1.68 KIPS |
|
|
Text Classification (F16)
|
100% |
761
1.09 KIPS |
|
|
Text Classification (I8)
|
96% |
762
1.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
532
9.79 IPS |
|
|
Machine Translation (F16)
|
100% |
537
9.88 IPS |
|
|
Machine Translation (I8)
|
99% |
536
9.87 IPS |
