iPad Pro 11-inch (M4)
Geekbench AI Score
4899
Single Precision Score
36289
Half Precision Score
51361
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 07:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| 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% |
2105
391.5 IPS |
|
|
Image Classification (HP)
|
100% |
17127
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
24393
4.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2257
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22227
360.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30756
498.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10066
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122584
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232151
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
2472
196.1 IPS |
|
|
Object Detection (HP)
|
100% |
18296
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25779
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4404
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
42368
503.4 IPS |
|
|
Face Detection (Q)
|
100% |
62936
747.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8714
67.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98943
762.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
166556
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
22064
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232822
299.3 IPS |
|
|
Style Transfer (Q)
|
96% |
298379
385.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6090
224.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49327
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82366
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5862
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
6126
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4429
76.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16438
283.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18029
311.6 IPS |
