iPad Pro 11-inch (M4)
Geekbench AI Score
4794
Single Precision Score
37071
Half Precision Score
52699
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 30 2025 07:57 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2072
385.4 IPS |
|
|
Image Classification (HP)
|
100% |
17451
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
25190
4.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22117
358.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30354
492.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9921
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122826
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
230649
270.3 IPS |
|
|
Object Detection (SP)
|
100% |
2412
191.3 IPS |
|
|
Object Detection (HP)
|
100% |
18728
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
27452
2.19 KIPS |
|
|
Face Detection (SP)
|
100% |
4160
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
43411
515.8 IPS |
|
|
Face Detection (Q)
|
100% |
63534
754.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8542
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99805
768.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
170228
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21684
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
233762
300.5 IPS |
|
|
Style Transfer (Q)
|
96% |
297599
384.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5998
221.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50070
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86273
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
6555
8.75 KIPS |
|
|
Text Classification (Q)
|
93% |
6714
9.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4379
75.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16613
286.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18306
316.3 IPS |
