iPad Pro 11-inch (M4)
Geekbench AI Score
4950
Single Precision Score
36422
Half Precision Score
51023
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 03:03 AM |
| Views | 3 |
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 | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2110
392.3 IPS |
|
|
Image Classification (HP)
|
100% |
17051
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
22583
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22472
364.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30954
501.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10039
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122710
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232654
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
2456
194.8 IPS |
|
|
Object Detection (HP)
|
100% |
17960
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25630
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4309
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
42519
505.2 IPS |
|
|
Face Detection (Q)
|
100% |
63032
749.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8578
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98687
760.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
164660
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24320
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
232612
299.0 IPS |
|
|
Style Transfer (Q)
|
96% |
319029
411.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6093
225.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51163
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82042
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3227
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5889
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5813
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4559
78.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16542
284.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18170
314.0 IPS |
