iPad Pro 13-inch (M4)
Geekbench AI Score
8749
Single Precision Score
10616
Half Precision Score
9541
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 26 2025 03:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4423
822.5 IPS |
|
|
Image Classification (HP)
|
100% |
4800
892.7 IPS |
|
|
Image Classification (Q)
|
97% |
4141
772.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4762
77.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6685
108.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7147
115.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27882
32.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
30127
35.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
28596
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
4678
371.1 IPS |
|
|
Object Detection (HP)
|
100% |
5159
409.2 IPS |
|
|
Object Detection (Q)
|
91% |
4406
352.0 IPS |
|
|
Face Detection (SP)
|
100% |
12663
150.5 IPS |
|
|
Face Detection (HP)
|
100% |
16328
194.0 IPS |
|
|
Face Detection (Q)
|
100% |
11935
141.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20236
155.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22309
171.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
19317
151.0 IPS |
|
|
Style Transfer (SP)
|
100% |
56634
72.8 IPS |
|
|
Style Transfer (HP)
|
100% |
67168
86.3 IPS |
|
|
Style Transfer (Q)
|
96% |
62870
81.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11540
426.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12652
467.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10287
379.8 IPS |
|
|
Text Classification (SP)
|
100% |
2970
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5622
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5382
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1924
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2096
36.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2090
36.1 IPS |
