iPad Pro 13-inch (M4)
Geekbench AI Score
4942
Single Precision Score
36280
Half Precision Score
50927
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 16 2026 07:05 AM |
| Views | 1 |
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% |
2110
392.3 IPS |
|
|
Image Classification (HP)
|
100% |
17215
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
22932
4.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22437
363.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30795
499.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10013
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122742
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232849
272.9 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.0 IPS |
|
|
Object Detection (HP)
|
100% |
17673
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25729
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4297
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
43020
511.2 IPS |
|
|
Face Detection (Q)
|
100% |
62720
745.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8563
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98767
760.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
162198
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24218
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
234284
301.2 IPS |
|
|
Style Transfer (Q)
|
96% |
320028
413.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6075
224.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50658
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83525
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3184
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5676
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5612
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4594
79.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16477
283.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18178
314.1 IPS |
