iPad Pro 13-inch (M4)
Geekbench AI Score
4987
Single Precision Score
8026
Half Precision Score
6407
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ninjadeathgod |
| Upload Date | November 09 2025 12:52 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2087
388.1 IPS |
|
|
Image Classification (HP)
|
100% |
3397
631.7 IPS |
|
|
Image Classification (Q)
|
96% |
2331
435.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3194
51.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3525
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10033
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19429
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16620
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2425
192.3 IPS |
|
|
Object Detection (HP)
|
97% |
3824
304.4 IPS |
|
|
Object Detection (Q)
|
94% |
2690
214.4 IPS |
|
|
Face Detection (SP)
|
100% |
4254
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
7684
91.3 IPS |
|
|
Face Detection (Q)
|
100% |
4388
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8481
65.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14012
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9862
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24277
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38631
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31727
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6029
222.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7255
267.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5016
185.2 IPS |
|
|
Text Classification (SP)
|
100% |
3861
5.15 KIPS |
|
|
Text Classification (HP)
|
99% |
5760
7.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5802
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4397
75.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7922
136.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7942
137.2 IPS |
