iPad Pro 11-inch (M4)
Geekbench AI Score
4988
Single Precision Score
8038
Half Precision Score
6408
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 04:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2123
394.8 IPS |
|
|
Image Classification (HP)
|
100% |
3402
632.7 IPS |
|
|
Image Classification (Q)
|
96% |
2353
439.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3200
51.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3539
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10090
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19461
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16683
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2453
194.6 IPS |
|
|
Object Detection (HP)
|
97% |
3839
305.7 IPS |
|
|
Object Detection (Q)
|
94% |
2705
215.6 IPS |
|
|
Face Detection (SP)
|
100% |
4304
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
7654
90.9 IPS |
|
|
Face Detection (Q)
|
100% |
4379
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8538
65.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14101
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9869
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24400
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38573
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31603
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6094
225.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7196
265.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5014
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3344
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5776
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5680
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4613
79.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8009
138.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7991
138.1 IPS |
