iPad Pro 11-inch (M4)
Geekbench AI Score
4858
Single Precision Score
36501
Half Precision Score
52096
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 28 2026 03:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.7.3 |
| 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% |
2104
391.3 IPS |
|
|
Image Classification (HP)
|
100% |
16957
3.15 KIPS |
|
|
Image Classification (Q)
|
97% |
24651
4.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2224
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22147
359.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30558
495.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9979
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122836
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231780
271.7 IPS |
|
|
Object Detection (SP)
|
100% |
2455
194.7 IPS |
|
|
Object Detection (HP)
|
100% |
18417
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25856
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4327
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
43131
512.5 IPS |
|
|
Face Detection (Q)
|
100% |
62782
746.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8680
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98885
761.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
166116
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
21702
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
232770
299.2 IPS |
|
|
Style Transfer (Q)
|
96% |
297189
383.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6062
223.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48717
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87873
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
2920
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
6160
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6623
8.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4428
76.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16590
285.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18085
312.5 IPS |
