iPad Pro 11-inch (M4)
Geekbench AI Score
4958
Single Precision Score
36307
Half Precision Score
51165
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 05:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2092
389.1 IPS |
|
|
Image Classification (HP)
|
100% |
16774
3.12 KIPS |
|
|
Image Classification (Q)
|
97% |
23942
4.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2158
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22589
366.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30875
500.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10038
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122781
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
232881
273.0 IPS |
|
|
Object Detection (SP)
|
100% |
2439
193.4 IPS |
|
|
Object Detection (HP)
|
100% |
18187
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25772
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4289
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
42369
503.4 IPS |
|
|
Face Detection (Q)
|
100% |
62190
739.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8518
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
98936
762.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
164247
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24411
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232592
299.0 IPS |
|
|
Style Transfer (Q)
|
96% |
319329
412.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6088
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50901
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82303
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3270
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5653
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5604
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4575
78.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16769
288.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18421
318.3 IPS |
