iPad Pro 13-inch (M4)
Geekbench AI Score
4920
Single Precision Score
8007
Half Precision Score
6391
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 09:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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% |
2082
387.2 IPS |
|
|
Image Classification (HP)
|
100% |
3397
631.7 IPS |
|
|
Image Classification (Q)
|
96% |
2310
431.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2046
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3109
50.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3489
56.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9965
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19508
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16644
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2434
193.1 IPS |
|
|
Object Detection (HP)
|
97% |
3819
304.1 IPS |
|
|
Object Detection (Q)
|
94% |
2690
214.4 IPS |
|
|
Face Detection (SP)
|
100% |
4220
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
7558
89.8 IPS |
|
|
Face Detection (Q)
|
100% |
4371
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8502
65.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14057
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9838
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24551
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38742
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31763
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6058
223.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7187
265.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5037
186.0 IPS |
|
|
Text Classification (SP)
|
100% |
3302
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5860
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5692
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4574
78.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7943
137.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8057
139.2 IPS |
