iPad Pro 13-inch (M4)
Geekbench AI Score
4904
Single Precision Score
36131
Half Precision Score
51217
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | stevemops |
| Upload Date | October 17 2025 04:28 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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 | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2115
393.3 IPS |
|
|
Image Classification (HP)
|
100% |
16903
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
23703
4.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2081
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22270
361.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30983
502.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9929
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122844
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231169
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
2448
194.2 IPS |
|
|
Object Detection (HP)
|
100% |
17795
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25615
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4199
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
42114
500.4 IPS |
|
|
Face Detection (Q)
|
100% |
62035
737.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8499
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98724
760.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
164143
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24217
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
233166
299.7 IPS |
|
|
Style Transfer (Q)
|
96% |
320420
413.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6031
222.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50340
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85665
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5746
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5644
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4523
77.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16432
283.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18109
313.0 IPS |
