iPad Pro 13-inch (M4)
Geekbench AI Score
4979
Single Precision Score
36432
Half Precision Score
51811
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 04:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2113
393.0 IPS |
|
|
Image Classification (HP)
|
100% |
18394
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
24804
4.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2173
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22466
364.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
31021
502.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10005
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122801
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
233000
273.1 IPS |
|
|
Object Detection (SP)
|
100% |
2463
195.4 IPS |
|
|
Object Detection (HP)
|
100% |
17592
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
26349
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4299
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
42977
510.7 IPS |
|
|
Face Detection (Q)
|
100% |
63384
753.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8536
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98866
761.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
162007
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24263
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233718
300.4 IPS |
|
|
Style Transfer (Q)
|
96% |
319330
412.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6072
224.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50744
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85277
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3332
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
5557
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5643
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4599
79.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16482
283.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18702
323.2 IPS |
