iPad Pro 11-inch (M4)
Geekbench AI Score
9728
Single Precision Score
11367
Half Precision Score
10336
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jimscard |
| Upload Date | March 28 2025 10:06 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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% |
4479
833.0 IPS |
|
|
Image Classification (HP)
|
100% |
5105
949.3 IPS |
|
|
Image Classification (Q)
|
96% |
4612
861.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7114
115.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7918
128.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7639
123.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
27696
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29880
34.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
29140
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
4555
361.3 IPS |
|
|
Object Detection (HP)
|
100% |
5175
410.5 IPS |
|
|
Object Detection (Q)
|
92% |
4741
378.4 IPS |
|
|
Face Detection (SP)
|
100% |
12512
148.7 IPS |
|
|
Face Detection (HP)
|
100% |
16463
195.6 IPS |
|
|
Face Detection (Q)
|
100% |
13226
157.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20607
158.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22554
173.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
20590
161.0 IPS |
|
|
Style Transfer (SP)
|
100% |
56671
72.9 IPS |
|
|
Style Transfer (HP)
|
100% |
66532
85.5 IPS |
|
|
Style Transfer (Q)
|
96% |
64215
82.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11528
425.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12689
468.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10997
406.1 IPS |
|
|
Text Classification (SP)
|
100% |
2950
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5344
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5270
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3801
65.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3441
59.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2822
48.8 IPS |
