iPad Pro 13-inch (M4)
Geekbench AI Score
8784
Single Precision Score
10591
Half Precision Score
9510
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 15 2025 08:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
4387
815.9 IPS |
|
|
Image Classification (HP)
|
100% |
4794
891.6 IPS |
|
|
Image Classification (Q)
|
97% |
4099
765.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4761
77.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6716
108.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7109
115.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27770
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29974
35.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
28521
33.4 IPS |
|
|
Object Detection (SP)
|
100% |
4650
368.8 IPS |
|
|
Object Detection (HP)
|
100% |
5180
410.9 IPS |
|
|
Object Detection (Q)
|
91% |
4415
352.8 IPS |
|
|
Face Detection (SP)
|
100% |
12610
149.8 IPS |
|
|
Face Detection (HP)
|
100% |
16212
192.6 IPS |
|
|
Face Detection (Q)
|
100% |
11929
141.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20119
155.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22329
172.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
19155
149.7 IPS |
|
|
Style Transfer (SP)
|
100% |
55543
71.4 IPS |
|
|
Style Transfer (HP)
|
100% |
66391
85.3 IPS |
|
|
Style Transfer (Q)
|
96% |
62699
80.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11782
435.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12681
468.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10292
380.0 IPS |
|
|
Text Classification (SP)
|
100% |
3093
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
5587
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5381
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1975
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2088
36.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2080
36.0 IPS |
