iPad Pro 11-inch (M4)
Geekbench AI Score
4876
Single Precision Score
8006
Half Precision Score
6375
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | croman247 |
| Upload Date | October 06 2025 02:54 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2057
382.5 IPS |
|
|
Image Classification (HP)
|
100% |
3349
622.9 IPS |
|
|
Image Classification (Q)
|
96% |
2294
428.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2227
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3274
53.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3585
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10031
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19513
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16640
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2409
191.1 IPS |
|
|
Object Detection (HP)
|
97% |
3791
301.8 IPS |
|
|
Object Detection (Q)
|
94% |
2688
214.3 IPS |
|
|
Face Detection (SP)
|
100% |
4310
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
7754
92.1 IPS |
|
|
Face Detection (Q)
|
100% |
4441
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8631
66.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14546
112.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10178
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21994
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38516
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31624
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6160
227.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7327
270.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5081
187.6 IPS |
|
|
Text Classification (SP)
|
100% |
3019
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5822
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5733
7.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4511
77.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7206
124.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7248
125.3 IPS |
