iPad Pro 13-inch (M4)
Geekbench AI Score
4847
Single Precision Score
7917
Half Precision Score
6326
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 10:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2064
383.9 IPS |
|
|
Image Classification (HP)
|
100% |
3283
610.6 IPS |
|
|
Image Classification (Q)
|
96% |
2286
426.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3225
52.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3554
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9885
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19482
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16660
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2424
192.3 IPS |
|
|
Object Detection (HP)
|
97% |
3833
305.2 IPS |
|
|
Object Detection (Q)
|
94% |
2700
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
4326
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
7712
91.6 IPS |
|
|
Face Detection (Q)
|
100% |
4419
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8594
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14526
112.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10154
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22037
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38534
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31585
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6135
226.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7240
267.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5077
187.5 IPS |
|
|
Text Classification (SP)
|
100% |
3042
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5446
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5467
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4410
76.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7195
124.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7146
123.5 IPS |
