iPad Pro 13-inch (M4)
Geekbench AI Score
4937
Single Precision Score
36546
Half Precision Score
51201
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 15 2025 06:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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% |
2058
382.7 IPS |
|
|
Image Classification (HP)
|
100% |
17269
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
23484
4.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22402
363.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30888
500.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10064
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123059
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
232810
272.9 IPS |
|
|
Object Detection (SP)
|
100% |
2438
193.4 IPS |
|
|
Object Detection (HP)
|
100% |
18776
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
25626
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4251
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
42648
506.8 IPS |
|
|
Face Detection (Q)
|
100% |
61909
735.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8492
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
98877
761.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
168539
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24210
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
233124
299.7 IPS |
|
|
Style Transfer (Q)
|
96% |
318328
410.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6087
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51084
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82890
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3291
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5641
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5627
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4552
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16785
289.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18471
319.2 IPS |
