iPad Pro 11-inch (M4)
Geekbench AI Score
5012
Single Precision Score
36137
Half Precision Score
50952
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 07:03 AM |
| Views | 2 |
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% |
2144
398.7 IPS |
|
|
Image Classification (HP)
|
100% |
16962
3.15 KIPS |
|
|
Image Classification (Q)
|
97% |
23440
4.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2250
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22437
363.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30863
500.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10060
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123547
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232536
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2477
196.5 IPS |
|
|
Object Detection (HP)
|
100% |
17581
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25434
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4371
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
43319
514.7 IPS |
|
|
Face Detection (Q)
|
100% |
62509
742.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8678
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98885
761.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
167529
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24651
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232521
298.9 IPS |
|
|
Style Transfer (Q)
|
96% |
320059
413.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6036
222.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50812
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82578
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3233
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5524
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5504
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4564
78.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16433
283.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18093
312.7 IPS |
