iPad Pro 13-inch (M4)
Geekbench AI Score
10285
Single Precision Score
12233
Half Precision Score
11628
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | January 30 2026 03:48 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4869
905.5 IPS |
|
|
Image Classification (HP)
|
100% |
5125
953.1 IPS |
|
|
Image Classification (Q)
|
96% |
4887
912.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7196
116.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8072
130.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7788
126.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
27200
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31067
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30172
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4768
378.2 IPS |
|
|
Object Detection (HP)
|
100% |
5318
421.8 IPS |
|
|
Object Detection (Q)
|
91% |
5195
415.2 IPS |
|
|
Face Detection (SP)
|
100% |
13176
156.6 IPS |
|
|
Face Detection (HP)
|
100% |
17879
212.4 IPS |
|
|
Face Detection (Q)
|
100% |
16477
195.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20044
154.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22435
172.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
21290
166.6 IPS |
|
|
Style Transfer (SP)
|
100% |
55528
71.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67769
87.1 IPS |
|
|
Style Transfer (Q)
|
96% |
65744
84.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11417
421.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11838
437.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10338
381.7 IPS |
|
|
Text Classification (SP)
|
100% |
3224
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5759
7.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5714
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
5403
93.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5925
102.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5562
96.1 IPS |
