iPad Pro 13-inch (M4)
Geekbench AI Score
10105
Single Precision Score
11940
Half Precision Score
11088
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 04 2025 08:52 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% |
4578
851.3 IPS |
|
|
Image Classification (HP)
|
100% |
4990
927.9 IPS |
|
|
Image Classification (Q)
|
96% |
4479
836.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7110
115.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7972
129.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7725
125.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27271
31.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30993
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30178
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4606
365.3 IPS |
|
|
Object Detection (HP)
|
100% |
5224
414.4 IPS |
|
|
Object Detection (Q)
|
92% |
4831
385.6 IPS |
|
|
Face Detection (SP)
|
100% |
12771
151.8 IPS |
|
|
Face Detection (HP)
|
100% |
16974
201.7 IPS |
|
|
Face Detection (Q)
|
100% |
13534
160.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20148
155.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22316
171.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
20315
158.7 IPS |
|
|
Style Transfer (SP)
|
100% |
55491
71.3 IPS |
|
|
Style Transfer (HP)
|
100% |
67115
86.3 IPS |
|
|
Style Transfer (Q)
|
96% |
65342
84.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11413
421.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11737
433.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10277
379.5 IPS |
|
|
Text Classification (SP)
|
100% |
3384
4.52 KIPS |
|
|
Text Classification (HP)
|
99% |
5812
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5733
7.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4926
84.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5273
90.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5263
91.0 IPS |
