iPad Pro 13-inch (M4)
Geekbench AI Score
4942
Single Precision Score
8021
Half Precision Score
6385
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 02:10 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2082
387.2 IPS |
|
|
Image Classification (HP)
|
100% |
3396
631.6 IPS |
|
|
Image Classification (Q)
|
96% |
2307
430.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3151
51.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3487
56.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9936
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19473
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16628
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2422
192.1 IPS |
|
|
Object Detection (HP)
|
97% |
3799
302.4 IPS |
|
|
Object Detection (Q)
|
94% |
2693
214.7 IPS |
|
|
Face Detection (SP)
|
100% |
4244
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
7663
91.1 IPS |
|
|
Face Detection (Q)
|
100% |
4369
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8488
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14087
108.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9850
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24368
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38691
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31719
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6094
225.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7174
264.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5021
185.4 IPS |
|
|
Text Classification (SP)
|
100% |
3303
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5773
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5666
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4612
79.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8055
139.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8055
139.2 IPS |
