iPad Pro 11-inch (M4)
Geekbench AI Score
4986
Single Precision Score
36275
Half Precision Score
51507
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 09:36 PM |
| Views | 2 |
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% |
2131
396.3 IPS |
|
|
Image Classification (HP)
|
100% |
16883
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
23184
4.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2188
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22474
364.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
31309
507.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10064
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122985
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232722
272.8 IPS |
|
|
Object Detection (SP)
|
100% |
2461
195.2 IPS |
|
|
Object Detection (HP)
|
100% |
17797
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25914
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4325
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
42380
503.6 IPS |
|
|
Face Detection (Q)
|
100% |
62096
737.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8590
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98689
760.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
166452
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24401
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
231651
297.8 IPS |
|
|
Style Transfer (Q)
|
96% |
320022
413.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6096
225.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50906
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82540
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5813
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
6027
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4577
78.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16571
285.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18245
315.3 IPS |
