iPad Pro 11-inch (M4)
Geekbench AI Score
4967
Single Precision Score
36239
Half Precision Score
51020
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | panrawin |
| Upload Date | September 21 2025 01:19 PM |
| Views | 2 |
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 | iPad16,3 |
| 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% |
2101
390.7 IPS |
|
|
Image Classification (HP)
|
100% |
16973
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
23554
4.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22591
366.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
31018
502.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10063
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123675
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
232652
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
2448
194.2 IPS |
|
|
Object Detection (HP)
|
100% |
17544
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25845
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4291
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
42454
504.4 IPS |
|
|
Face Detection (Q)
|
100% |
61972
736.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8510
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
98822
761.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
162068
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24372
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
232055
298.3 IPS |
|
|
Style Transfer (Q)
|
96% |
320907
414.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6097
225.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51120
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82296
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3302
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5594
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5580
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4611
79.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16866
290.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18383
317.7 IPS |
