iPad Pro 13-inch (M4)
Geekbench AI Score
4931
Single Precision Score
36318
Half Precision Score
51242
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 17 2025 07:53 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2113
392.9 IPS |
|
|
Image Classification (HP)
|
100% |
17029
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
22932
4.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22290
361.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30706
497.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10041
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122886
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
231568
271.4 IPS |
|
|
Object Detection (SP)
|
100% |
2443
193.8 IPS |
|
|
Object Detection (HP)
|
100% |
17953
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25666
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4293
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
43328
514.8 IPS |
|
|
Face Detection (Q)
|
100% |
64104
761.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8598
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98847
761.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
164142
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24139
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
233072
299.6 IPS |
|
|
Style Transfer (Q)
|
96% |
319472
412.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6046
223.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50566
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82455
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5753
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5960
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
4547
78.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16420
282.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18054
312.0 IPS |
