iPad Pro 13-inch (M4)
Geekbench AI Score
10299
Single Precision Score
12256
Half Precision Score
11477
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ks5z |
| Upload Date | March 19 2026 12:44 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
4863
904.4 IPS |
|
|
Image Classification (HP)
|
100% |
5090
946.7 IPS |
|
|
Image Classification (Q)
|
96% |
4857
907.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7203
116.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8044
130.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7809
126.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27120
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30976
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30187
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
4784
379.5 IPS |
|
|
Object Detection (HP)
|
100% |
5333
423.0 IPS |
|
|
Object Detection (Q)
|
91% |
5173
413.4 IPS |
|
|
Face Detection (SP)
|
100% |
13139
156.1 IPS |
|
|
Face Detection (HP)
|
100% |
17853
212.1 IPS |
|
|
Face Detection (Q)
|
100% |
16387
194.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20224
155.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22389
172.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
21116
165.2 IPS |
|
|
Style Transfer (SP)
|
100% |
55431
71.3 IPS |
|
|
Style Transfer (HP)
|
100% |
68062
87.5 IPS |
|
|
Style Transfer (Q)
|
96% |
65849
85.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11381
420.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11743
433.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10288
379.9 IPS |
|
|
Text Classification (SP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
6011
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5725
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5407
93.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5888
101.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4990
86.2 IPS |
