iPad Pro 13-inch (M4)
Geekbench AI Score
5002
Single Precision Score
36215
Half Precision Score
51054
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | January 08 2026 11:19 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2125
395.2 IPS |
|
|
Image Classification (HP)
|
100% |
17028
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
23454
4.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2250
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22543
365.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
31074
503.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10048
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122593
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232776
272.8 IPS |
|
|
Object Detection (SP)
|
100% |
2472
196.1 IPS |
|
|
Object Detection (HP)
|
100% |
17747
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25973
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4348
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
42839
509.0 IPS |
|
|
Face Detection (Q)
|
100% |
62740
745.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8613
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99048
763.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
158370
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
24505
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
230911
296.8 IPS |
|
|
Style Transfer (Q)
|
96% |
319834
412.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6094
225.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51227
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84628
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3217
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5622
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5566
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4595
79.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16469
283.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18242
315.3 IPS |
