iPad Pro 13-inch (M4)
Geekbench AI Score
4940
Single Precision Score
8057
Half Precision Score
6422
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Fyrpm |
| Upload Date | December 11 2025 03:22 AM |
| Views | 9 |
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% |
2093
389.2 IPS |
|
|
Image Classification (HP)
|
100% |
3383
629.1 IPS |
|
|
Image Classification (Q)
|
96% |
2319
433.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3262
52.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3527
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10064
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19518
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16659
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2434
193.1 IPS |
|
|
Object Detection (HP)
|
97% |
3834
305.2 IPS |
|
|
Object Detection (Q)
|
94% |
2689
214.3 IPS |
|
|
Face Detection (SP)
|
100% |
4282
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
7727
91.8 IPS |
|
|
Face Detection (Q)
|
100% |
4408
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8490
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14087
108.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9919
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24369
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38763
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31789
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6087
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7171
264.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5040
186.1 IPS |
|
|
Text Classification (SP)
|
100% |
3236
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5726
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5751
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4510
77.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8062
139.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8084
139.7 IPS |
