iPad Pro 11-inch (M4)
Geekbench AI Score
4835
Single Precision Score
36679
Half Precision Score
51921
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | BirdsLikeWires |
| Upload Date | September 09 2025 01:24 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2080
386.8 IPS |
|
|
Image Classification (HP)
|
100% |
17145
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
24772
4.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22237
360.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30534
495.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10029
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122634
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232164
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
2426
192.4 IPS |
|
|
Object Detection (HP)
|
100% |
18428
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26692
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4312
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
42452
504.4 IPS |
|
|
Face Detection (Q)
|
100% |
62990
748.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8606
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98953
762.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
166673
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
22021
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
231921
298.1 IPS |
|
|
Style Transfer (Q)
|
96% |
297881
384.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6105
225.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48946
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82309
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2920
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
6470
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6463
8.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4411
76.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16584
285.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18259
315.5 IPS |
