iPad Pro 13-inch (M4)
Geekbench AI Score
4930
Single Precision Score
36263
Half Precision Score
51036
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 20 2026 11:58 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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 | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2128
395.8 IPS |
|
|
Image Classification (HP)
|
100% |
17251
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
23458
4.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2069
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22251
360.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30615
496.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10042
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122984
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
231937
271.8 IPS |
|
|
Object Detection (SP)
|
100% |
2459
195.0 IPS |
|
|
Object Detection (HP)
|
100% |
18039
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25671
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4300
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
43184
513.1 IPS |
|
|
Face Detection (Q)
|
100% |
62812
746.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8522
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
98494
758.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
162426
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24169
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
232247
298.6 IPS |
|
|
Style Transfer (Q)
|
96% |
320027
413.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6081
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49969
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84424
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3213
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5679
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5625
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4509
77.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16475
283.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18084
312.5 IPS |
