iPad Pro 13-inch (M4)
Geekbench AI Score
8799
Single Precision Score
10546
Half Precision Score
9521
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 07:38 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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% |
4414
820.9 IPS |
|
|
Image Classification (HP)
|
100% |
4828
897.8 IPS |
|
|
Image Classification (Q)
|
97% |
4095
764.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4742
76.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6674
108.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7110
115.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
27844
32.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
29985
35.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
28555
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
4620
366.5 IPS |
|
|
Object Detection (HP)
|
100% |
5159
409.2 IPS |
|
|
Object Detection (Q)
|
91% |
4424
353.5 IPS |
|
|
Face Detection (SP)
|
100% |
12741
151.4 IPS |
|
|
Face Detection (HP)
|
100% |
16310
193.8 IPS |
|
|
Face Detection (Q)
|
100% |
11897
141.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20189
155.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22275
171.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
19263
150.6 IPS |
|
|
Style Transfer (SP)
|
100% |
57219
73.6 IPS |
|
|
Style Transfer (HP)
|
100% |
66675
85.7 IPS |
|
|
Style Transfer (Q)
|
96% |
62570
80.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11545
426.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12571
464.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10280
379.6 IPS |
|
|
Text Classification (SP)
|
100% |
3085
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
5559
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5411
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1973
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2018
34.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2088
36.1 IPS |
