iPad Pro 13-inch (M4)
Geekbench AI Score
4933
Single Precision Score
8073
Half Precision Score
6426
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 12:49 AM |
| Views | 1 |
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% |
2116
393.5 IPS |
|
|
Image Classification (HP)
|
100% |
3372
627.1 IPS |
|
|
Image Classification (Q)
|
96% |
2353
439.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3179
51.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3513
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10078
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19500
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16660
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2438
193.4 IPS |
|
|
Object Detection (HP)
|
97% |
3792
301.9 IPS |
|
|
Object Detection (Q)
|
94% |
2706
215.7 IPS |
|
|
Face Detection (SP)
|
100% |
4258
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
7748
92.1 IPS |
|
|
Face Detection (Q)
|
100% |
4429
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8525
65.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14072
108.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9930
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24524
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38808
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31852
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6107
225.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7133
263.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4998
184.6 IPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
6062
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5732
7.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4502
77.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8111
140.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8030
138.8 IPS |
