iPad Pro 11-inch (M4)
Geekbench AI Score
4958
Single Precision Score
36258
Half Precision Score
50821
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 05 2026 04:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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 | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2110
392.4 IPS |
|
|
Image Classification (HP)
|
100% |
16871
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
23251
4.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22297
361.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30731
498.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10076
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122685
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232265
272.2 IPS |
|
|
Object Detection (SP)
|
100% |
2443
193.8 IPS |
|
|
Object Detection (HP)
|
100% |
17771
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25636
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4292
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
43018
511.1 IPS |
|
|
Face Detection (Q)
|
100% |
62344
740.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8544
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98832
761.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
163758
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24439
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232858
299.3 IPS |
|
|
Style Transfer (Q)
|
96% |
317701
410.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6114
225.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51704
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82225
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3259
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5704
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5583
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4535
78.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16403
282.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18145
313.6 IPS |
