iPad Pro 11-inch (M4)
Geekbench AI Score
4974
Single Precision Score
36281
Half Precision Score
51526
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 04:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2118
393.9 IPS |
|
|
Image Classification (HP)
|
100% |
17010
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
24086
4.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2184
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22408
363.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30990
502.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10149
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123111
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
232509
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2456
194.8 IPS |
|
|
Object Detection (HP)
|
100% |
18033
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26644
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4268
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
43519
517.1 IPS |
|
|
Face Detection (Q)
|
100% |
64261
763.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8528
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
98967
762.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
170810
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24360
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233287
299.9 IPS |
|
|
Style Transfer (Q)
|
96% |
319438
412.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6074
224.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50990
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81657
3.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3247
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5546
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5525
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4599
79.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16440
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18035
311.7 IPS |
