iPad Pro 13-inch (M4)
Geekbench AI Score
10025
Single Precision Score
11899
Half Precision Score
11029
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 16 2025 11:53 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 | iPad16,6 |
| Motherboard | J721AP |
| 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% |
4581
852.0 IPS |
|
|
Image Classification (HP)
|
100% |
4985
927.1 IPS |
|
|
Image Classification (Q)
|
96% |
4464
833.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7146
115.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7934
128.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7660
124.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27113
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31002
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30118
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4646
368.5 IPS |
|
|
Object Detection (HP)
|
100% |
5219
414.0 IPS |
|
|
Object Detection (Q)
|
92% |
4775
381.2 IPS |
|
|
Face Detection (SP)
|
100% |
12645
150.2 IPS |
|
|
Face Detection (HP)
|
100% |
16818
199.8 IPS |
|
|
Face Detection (Q)
|
100% |
13403
159.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19986
154.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22460
173.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
20195
157.7 IPS |
|
|
Style Transfer (SP)
|
100% |
55920
71.9 IPS |
|
|
Style Transfer (HP)
|
100% |
68155
87.6 IPS |
|
|
Style Transfer (Q)
|
96% |
65762
84.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11285
416.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11685
431.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10271
379.3 IPS |
|
|
Text Classification (SP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5698
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5715
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4863
83.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5189
89.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5186
89.6 IPS |
