iPad Pro 11-inch (M4)
Geekbench AI Score
4961
Single Precision Score
36285
Half Precision Score
51051
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 17 2026 11:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2120
394.2 IPS |
|
|
Image Classification (HP)
|
100% |
16787
3.12 KIPS |
|
|
Image Classification (Q)
|
97% |
23253
4.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2164
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22510
364.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30951
501.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10038
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122820
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
232434
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2440
193.6 IPS |
|
|
Object Detection (HP)
|
100% |
18116
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26688
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4198
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
43912
521.8 IPS |
|
|
Face Detection (Q)
|
100% |
62716
745.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8539
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98691
760.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
160110
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24451
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232379
298.7 IPS |
|
|
Style Transfer (Q)
|
96% |
319474
412.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6076
224.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50830
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83487
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3253
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5547
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5517
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4644
80.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16575
285.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18228
315.0 IPS |
