iPad Pro 11-inch (M4)
Geekbench AI Score
9666
Single Precision Score
11238
Half Precision Score
10076
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | cesarjmoreno |
| Upload Date | June 07 2025 01:18 AM |
| Views | 5 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4417
821.5 IPS |
|
|
Image Classification (HP)
|
100% |
4836
899.3 IPS |
|
|
Image Classification (Q)
|
96% |
4511
842.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7141
115.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7929
128.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7613
123.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27746
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29744
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29473
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4551
361.0 IPS |
|
|
Object Detection (HP)
|
100% |
5162
409.5 IPS |
|
|
Object Detection (Q)
|
92% |
4734
377.9 IPS |
|
|
Face Detection (SP)
|
100% |
12726
151.2 IPS |
|
|
Face Detection (HP)
|
100% |
16578
197.0 IPS |
|
|
Face Detection (Q)
|
100% |
13394
159.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20388
157.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
21941
169.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
20280
158.4 IPS |
|
|
Style Transfer (SP)
|
100% |
56858
73.1 IPS |
|
|
Style Transfer (HP)
|
100% |
65810
84.6 IPS |
|
|
Style Transfer (Q)
|
96% |
64120
82.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11576
427.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11549
426.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10324
381.2 IPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5393
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5518
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3548
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3661
63.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2269
39.2 IPS |
