iPad Pro 11-inch (M4)
Geekbench AI Score
4898
Single Precision Score
8005
Half Precision Score
6366
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 20 2025 05:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2082
387.2 IPS |
|
|
Image Classification (HP)
|
100% |
3459
643.2 IPS |
|
|
Image Classification (Q)
|
96% |
2322
433.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3163
51.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3512
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10114
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19520
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16661
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2437
193.3 IPS |
|
|
Object Detection (HP)
|
97% |
3849
306.4 IPS |
|
|
Object Detection (Q)
|
94% |
2700
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
4294
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7688
91.4 IPS |
|
|
Face Detection (Q)
|
100% |
4405
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8525
65.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14071
108.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9852
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24380
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39475
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32300
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6056
223.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7209
266.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5022
185.4 IPS |
|
|
Text Classification (SP)
|
100% |
2946
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5302
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5306
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
4565
78.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8059
139.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7983
138.0 IPS |
