iPad Pro 13-inch (M4)
Geekbench AI Score
4958
Single Precision Score
36193
Half Precision Score
50783
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 07:20 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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% |
2100
390.4 IPS |
|
|
Image Classification (HP)
|
100% |
17053
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
22894
4.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22399
363.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30938
501.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10094
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122941
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232418
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2439
193.4 IPS |
|
|
Object Detection (HP)
|
100% |
17801
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25557
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4302
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
43334
514.9 IPS |
|
|
Face Detection (Q)
|
100% |
62643
744.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8524
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
98759
760.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
162433
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24526
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
232735
299.2 IPS |
|
|
Style Transfer (Q)
|
96% |
319737
412.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6092
224.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50475
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83342
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3215
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5561
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5511
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4597
79.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16506
284.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18148
313.6 IPS |
