iPad Pro 11-inch (M4)
Geekbench AI Score
4826
Single Precision Score
36522
Half Precision Score
51958
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | cesarjmoreno |
| Upload Date | June 07 2025 01:24 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2090
388.6 IPS |
|
|
Image Classification (HP)
|
100% |
16782
3.12 KIPS |
|
|
Image Classification (Q)
|
97% |
24649
4.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2161
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22118
358.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30526
494.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9961
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122591
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232046
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2428
192.6 IPS |
|
|
Object Detection (HP)
|
100% |
18554
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
25962
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4305
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
43166
512.9 IPS |
|
|
Face Detection (Q)
|
100% |
63962
760.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8594
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99496
766.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
166686
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
21743
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
235115
302.2 IPS |
|
|
Style Transfer (Q)
|
96% |
298208
384.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6104
225.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48906
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84165
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2907
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
6139
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6531
8.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4401
75.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16500
284.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18103
312.8 IPS |
