iPad Pro 13-inch (M4)
Geekbench AI Score
4994
Single Precision Score
36758
Half Precision Score
51916
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | achakbrooks |
| Upload Date | October 17 2025 11:54 AM |
| Views | 6 |
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 | iPad16,5 |
| Motherboard | J720AP |
| 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% |
2063
383.7 IPS |
|
|
Image Classification (HP)
|
100% |
16890
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
23445
4.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22310
361.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30671
497.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9983
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122855
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232290
272.3 IPS |
|
|
Object Detection (SP)
|
100% |
2448
194.2 IPS |
|
|
Object Detection (HP)
|
100% |
17724
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25826
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4222
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
42659
506.9 IPS |
|
|
Face Detection (Q)
|
100% |
61938
736.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8492
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99101
763.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
165065
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24212
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
233668
300.4 IPS |
|
|
Style Transfer (Q)
|
96% |
320596
413.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5898
217.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51039
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83022
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3826
5.11 KIPS |
|
|
Text Classification (HP)
|
99% |
6620
8.84 KIPS |
|
|
Text Classification (Q)
|
93% |
6527
8.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4666
80.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16447
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18565
320.8 IPS |
