iPad Pro 13-inch (M4)
Geekbench AI Score
4922
Single Precision Score
36588
Half Precision Score
51540
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | September 27 2025 10:11 PM |
| Views | 3 |
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, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2116
393.5 IPS |
|
|
Image Classification (HP)
|
100% |
17332
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
23426
4.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22545
365.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
31406
509.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9988
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123001
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232737
272.8 IPS |
|
|
Object Detection (SP)
|
100% |
2429
192.7 IPS |
|
|
Object Detection (HP)
|
100% |
18819
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26361
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4191
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
43020
511.2 IPS |
|
|
Face Detection (Q)
|
100% |
62316
740.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8483
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99097
763.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
165824
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24362
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233030
299.6 IPS |
|
|
Style Transfer (Q)
|
96% |
321711
415.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5968
220.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50735
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85927
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3216
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5642
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5605
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4550
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16715
287.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18302
316.3 IPS |
