iPad Pro 11-inch (M4)
Geekbench AI Score
4950
Single Precision Score
36660
Half Precision Score
51576
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | DmytroVlasenko |
| Upload Date | September 06 2025 08:55 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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% |
2091
388.9 IPS |
|
|
Image Classification (HP)
|
100% |
18985
3.53 KIPS |
|
|
Image Classification (Q)
|
97% |
25789
4.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22309
361.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
31037
503.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10038
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123241
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232228
272.2 IPS |
|
|
Object Detection (SP)
|
100% |
2443
193.8 IPS |
|
|
Object Detection (HP)
|
100% |
17702
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
26086
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4275
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
43165
512.9 IPS |
|
|
Face Detection (Q)
|
100% |
61925
735.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8511
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
100200
772.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
163082
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24394
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232654
299.1 IPS |
|
|
Style Transfer (Q)
|
96% |
319094
411.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6109
225.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50923
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82700
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3308
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5596
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5612
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4579
78.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16551
285.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18367
317.4 IPS |
