iPad Pro 11-inch (M4)
Geekbench AI Score
4849
Single Precision Score
36504
Half Precision Score
51491
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 06:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
2090
388.6 IPS |
|
|
Image Classification (HP)
|
100% |
17033
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
24135
4.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2202
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22216
360.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30728
498.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10025
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123047
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
231902
271.8 IPS |
|
|
Object Detection (SP)
|
100% |
2421
192.0 IPS |
|
|
Object Detection (HP)
|
100% |
18516
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
25952
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4331
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
42940
510.2 IPS |
|
|
Face Detection (Q)
|
100% |
62921
747.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8618
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
98833
761.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
167197
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
22061
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
229465
295.0 IPS |
|
|
Style Transfer (Q)
|
96% |
297170
383.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6104
225.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49745
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83387
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2917
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
6086
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
6195
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4393
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16531
284.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18176
314.1 IPS |
