iPad Pro 11-inch (M4)
Geekbench AI Score
4940
Single Precision Score
36471
Half Precision Score
51773
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Bearco |
| Upload Date | October 23 2025 06:16 PM |
| Views | 20 |
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% |
2092
389.0 IPS |
|
|
Image Classification (HP)
|
100% |
17087
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
24615
4.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2141
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22455
364.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30932
501.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10060
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122725
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232118
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
2431
192.9 IPS |
|
|
Object Detection (HP)
|
100% |
17652
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
26328
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4253
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
43232
513.7 IPS |
|
|
Face Detection (Q)
|
100% |
62767
745.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8459
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98883
761.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
161720
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24175
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
232206
298.5 IPS |
|
|
Style Transfer (Q)
|
96% |
320904
414.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6031
222.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51818
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82964
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3299
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5823
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5980
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
4568
78.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16728
288.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18403
318.0 IPS |
