iPad Pro 11-inch (M4)
Geekbench AI Score
9978
Single Precision Score
11363
Half Precision Score
10468
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 09 2025 07:43 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
4554
847.0 IPS |
|
|
Image Classification (HP)
|
100% |
4880
907.5 IPS |
|
|
Image Classification (Q)
|
96% |
4671
872.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7184
116.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8122
131.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7685
124.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27566
32.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
29904
34.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
29583
34.7 IPS |
|
|
Object Detection (SP)
|
100% |
4792
380.1 IPS |
|
|
Object Detection (HP)
|
100% |
5129
406.9 IPS |
|
|
Object Detection (Q)
|
92% |
4730
377.5 IPS |
|
|
Face Detection (SP)
|
100% |
12105
143.8 IPS |
|
|
Face Detection (HP)
|
100% |
16099
191.3 IPS |
|
|
Face Detection (Q)
|
100% |
13220
157.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20574
158.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
21923
168.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
20313
158.7 IPS |
|
|
Style Transfer (SP)
|
100% |
55424
71.2 IPS |
|
|
Style Transfer (HP)
|
100% |
65591
84.3 IPS |
|
|
Style Transfer (Q)
|
96% |
63810
82.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12569
464.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11364
419.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9940
367.0 IPS |
|
|
Text Classification (SP)
|
100% |
2940
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5527
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5435
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4439
76.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4060
69.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3398
58.7 IPS |
