iPad Pro 11-inch (M4)
Geekbench AI Score
4958
Single Precision Score
36371
Half Precision Score
52143
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 10:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2090
388.7 IPS |
|
|
Image Classification (HP)
|
100% |
17666
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
27196
5.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22443
363.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
31055
503.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10017
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123017
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
233312
273.5 IPS |
|
|
Object Detection (SP)
|
100% |
2450
194.4 IPS |
|
|
Object Detection (HP)
|
100% |
17600
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
26043
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4299
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
42633
506.6 IPS |
|
|
Face Detection (Q)
|
100% |
62396
741.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8535
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98841
761.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
167538
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24408
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232636
299.1 IPS |
|
|
Style Transfer (Q)
|
96% |
320038
413.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6073
224.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51240
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84695
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3255
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5660
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5591
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4623
79.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16600
285.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18278
315.9 IPS |
