iPad16,5
Geekbench ML Score
6796
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 21 2024 02:45 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 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 | 15.05 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4184
783.0 IPS |
|
|
Image Classification (F16)
|
100% |
4414
825.9 IPS |
|
|
Image Classification (I8)
|
99% |
4090
765.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2015
33.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2283
38.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
2260
37.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
27088
32.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
28877
35.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
28109
34.0 IPS |
|
|
Object Detection (F32)
|
100% |
3697
276.0 IPS |
|
|
Object Detection (F16)
|
100% |
3950
294.9 IPS |
|
|
Object Detection (I8)
|
97% |
3400
253.9 IPS |
|
|
Face Detection (F32)
|
100% |
11362
135.1 IPS |
|
|
Face Detection (F16)
|
98% |
14080
167.4 IPS |
|
|
Face Detection (I8)
|
97% |
13671
162.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
19984
155.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
21890
169.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
20002
155.1 IPS |
|
|
Style Transfer (F32)
|
100% |
55532
73.0 IPS |
|
|
Style Transfer (F16)
|
100% |
65185
85.7 IPS |
|
|
Style Transfer (I8)
|
100% |
64772
85.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9048
323.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8365
298.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9339
333.5 IPS |
|
|
Text Classification (F32)
|
100% |
1515
2.18 KIPS |
|
|
Text Classification (F16)
|
100% |
1575
2.26 KIPS |
|
|
Text Classification (I8)
|
96% |
1207
1.73 KIPS |
|
|
Machine Translation (F32)
|
100% |
1139
21.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1157
21.3 IPS |
|
|
Machine Translation (I8)
|
99% |
903
16.6 IPS |
