iPad Pro 11-inch (M4)
Geekbench AI Score
4982
Single Precision Score
36201
Half Precision Score
50862
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 30 2025 10:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2128
395.8 IPS |
|
|
Image Classification (HP)
|
100% |
16694
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
23053
4.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2183
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22522
365.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
31045
503.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10079
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123562
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232236
272.2 IPS |
|
|
Object Detection (SP)
|
100% |
2440
193.5 IPS |
|
|
Object Detection (HP)
|
100% |
17937
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25653
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4321
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
42949
510.3 IPS |
|
|
Face Detection (Q)
|
100% |
62383
741.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8545
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98823
761.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
162958
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24531
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
233186
299.8 IPS |
|
|
Style Transfer (Q)
|
96% |
318897
411.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6068
224.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51001
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83686
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3300
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5579
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5522
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4551
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16474
283.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18139
313.5 IPS |
