iPad Pro (11-inch 3rd generation)
Geekbench ML Score
3688
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 17 2024 06:41 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1438
269.2 IPS |
|
|
Image Classification (F16)
|
100% |
1128
211.2 IPS |
|
|
Image Classification (I8)
|
99% |
1150
215.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
845
14.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
859
14.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
852
14.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
16092
19.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
17877
21.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
17528
21.2 IPS |
|
|
Object Detection (F32)
|
100% |
1402
104.7 IPS |
|
|
Object Detection (F16)
|
100% |
1299
97.0 IPS |
|
|
Object Detection (I8)
|
97% |
1416
105.7 IPS |
|
|
Face Detection (F32)
|
100% |
5933
70.5 IPS |
|
|
Face Detection (F16)
|
98% |
7134
84.8 IPS |
|
|
Face Detection (I8)
|
97% |
7280
86.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
11819
91.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
13345
103.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
12448
96.5 IPS |
|
|
Style Transfer (F32)
|
100% |
28328
37.3 IPS |
|
|
Style Transfer (F16)
|
100% |
32177
42.3 IPS |
|
|
Style Transfer (I8)
|
100% |
34250
45.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5366
191.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4911
175.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5510
196.8 IPS |
|
|
Text Classification (F32)
|
100% |
2071
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3328
4.78 KIPS |
|
|
Text Classification (I8)
|
96% |
3331
4.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
473
8.70 IPS |
|
|
Machine Translation (F16)
|
100% |
470
8.66 IPS |
|
|
Machine Translation (I8)
|
99% |
482
8.87 IPS |
