iPad Pro 13-inch (M4)
Geekbench AI Score
4747
Single Precision Score
36485
Half Precision Score
51869
Quantized Score
Geekbench AI 1.6.0 Corporate for iOS AArch64
Result Information
| Upload Date | December 02 2025 05:56 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
2020
375.6 IPS |
|
|
Image Classification (HP)
|
100% |
17173
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
26352
4.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22250
360.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30605
496.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9724
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122719
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
229889
269.4 IPS |
|
|
Object Detection (SP)
|
100% |
2419
191.9 IPS |
|
|
Object Detection (HP)
|
100% |
18507
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
25661
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4152
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
43085
511.9 IPS |
|
|
Face Detection (Q)
|
100% |
62883
747.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8500
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98922
762.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
165798
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
20558
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
233742
300.5 IPS |
|
|
Style Transfer (Q)
|
96% |
297076
383.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5947
219.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49004
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85802
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
2998
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
6020
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
6219
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4400
75.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16392
282.4 IPS |
|
|
Machine Translation (Q)
|
98% |
17928
309.8 IPS |
