iPad Pro 13-inch (M4)
Geekbench AI Score
10073
Single Precision Score
11926
Half Precision Score
11077
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 07:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
4492
835.3 IPS |
|
|
Image Classification (HP)
|
100% |
4997
929.3 IPS |
|
|
Image Classification (Q)
|
96% |
4461
833.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7103
115.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7995
129.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7702
124.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27077
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30971
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30154
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4590
364.1 IPS |
|
|
Object Detection (HP)
|
100% |
5178
410.7 IPS |
|
|
Object Detection (Q)
|
92% |
4807
383.7 IPS |
|
|
Face Detection (SP)
|
100% |
12766
151.7 IPS |
|
|
Face Detection (HP)
|
100% |
16935
201.2 IPS |
|
|
Face Detection (Q)
|
100% |
13522
160.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20042
154.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22241
171.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
20209
157.9 IPS |
|
|
Style Transfer (SP)
|
100% |
56145
72.2 IPS |
|
|
Style Transfer (HP)
|
100% |
67140
86.3 IPS |
|
|
Style Transfer (Q)
|
96% |
65330
84.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11316
417.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11704
432.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10266
379.1 IPS |
|
|
Text Classification (SP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (HP)
|
99% |
5920
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5841
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4952
85.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5188
89.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5220
90.2 IPS |
