iPad Pro 11-inch (M4)
Geekbench AI Score
4945
Single Precision Score
36331
Half Precision Score
51120
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 07 2026 04:01 PM |
| Views | 3 |
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 | iPad16,3 |
| 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% |
2114
393.1 IPS |
|
|
Image Classification (HP)
|
100% |
16942
3.15 KIPS |
|
|
Image Classification (Q)
|
97% |
23308
4.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2163
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22430
363.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30900
500.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9913
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122859
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
231213
271.0 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.0 IPS |
|
|
Object Detection (HP)
|
100% |
17990
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25723
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4231
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
42670
507.0 IPS |
|
|
Face Detection (Q)
|
100% |
62781
746.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8554
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98795
761.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
163325
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24053
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
233466
300.1 IPS |
|
|
Style Transfer (Q)
|
96% |
319920
412.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5992
221.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50566
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83582
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3341
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5827
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5731
7.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4530
78.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16451
283.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18107
312.9 IPS |
