iPad Pro 13-inch (M4)
Geekbench AI Score
4988
Single Precision Score
8048
Half Precision Score
6456
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 04:05 PM |
| Views | 2 |
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, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2132
396.5 IPS |
|
|
Image Classification (HP)
|
100% |
3395
631.4 IPS |
|
|
Image Classification (Q)
|
96% |
2365
441.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2160
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3250
52.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3601
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9996
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19459
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16672
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2455
194.7 IPS |
|
|
Object Detection (HP)
|
97% |
3805
302.9 IPS |
|
|
Object Detection (Q)
|
94% |
2721
216.9 IPS |
|
|
Face Detection (SP)
|
100% |
4311
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
7753
92.1 IPS |
|
|
Face Detection (Q)
|
100% |
4465
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8580
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14163
109.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10001
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24309
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38714
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31902
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6055
223.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6992
258.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4951
182.8 IPS |
|
|
Text Classification (SP)
|
100% |
3396
4.53 KIPS |
|
|
Text Classification (HP)
|
99% |
5813
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5781
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4564
78.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8082
139.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7994
138.1 IPS |
