iPad Pro 11-inch (M4)
Geekbench AI Score
4939
Single Precision Score
36386
Half Precision Score
51787
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ajmaus |
| Upload Date | September 21 2025 12:01 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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% |
2098
390.1 IPS |
|
|
Image Classification (HP)
|
100% |
17691
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
26872
5.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22409
363.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
31316
507.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10030
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122841
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231695
271.6 IPS |
|
|
Object Detection (SP)
|
100% |
2436
193.3 IPS |
|
|
Object Detection (HP)
|
100% |
17900
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25744
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4249
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
43210
513.4 IPS |
|
|
Face Detection (Q)
|
100% |
62366
741.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8528
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
98763
760.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
164215
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24350
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
232377
298.7 IPS |
|
|
Style Transfer (Q)
|
96% |
320040
413.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6064
223.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50817
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83486
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3253
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5594
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5552
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4605
79.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16555
285.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18194
314.4 IPS |
