iPad Pro 13-inch (M4)
Geekbench AI Score
4975
Single Precision Score
36172
Half Precision Score
50901
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 12:40 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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 | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2132
396.4 IPS |
|
|
Image Classification (HP)
|
100% |
16941
3.15 KIPS |
|
|
Image Classification (Q)
|
97% |
23454
4.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2201
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22417
363.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30933
501.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10033
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122958
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
231993
271.9 IPS |
|
|
Object Detection (SP)
|
100% |
2448
194.2 IPS |
|
|
Object Detection (HP)
|
100% |
17677
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25704
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4240
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
43165
512.9 IPS |
|
|
Face Detection (Q)
|
100% |
62181
738.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8517
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
98803
761.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
163768
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24311
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234428
301.4 IPS |
|
|
Style Transfer (Q)
|
96% |
320973
414.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6015
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50576
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82783
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3311
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5555
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5490
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4618
79.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16541
284.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18170
314.0 IPS |
