iPad Pro 13-inch (M4)
Geekbench AI Score
4958
Single Precision Score
36354
Half Precision Score
51374
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | October 09 2025 03:33 AM |
| Views | 2 |
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% |
2099
390.4 IPS |
|
|
Image Classification (HP)
|
100% |
17608
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
24725
4.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2186
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22454
364.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30894
500.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10037
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123020
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232321
272.3 IPS |
|
|
Object Detection (SP)
|
100% |
2442
193.7 IPS |
|
|
Object Detection (HP)
|
100% |
17729
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25737
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4278
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
42898
509.7 IPS |
|
|
Face Detection (Q)
|
100% |
62509
742.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8528
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
98953
762.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
164879
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24421
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
233443
300.1 IPS |
|
|
Style Transfer (Q)
|
96% |
321021
414.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6055
223.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50827
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83813
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3215
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5643
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5566
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4605
79.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16453
283.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18168
314.0 IPS |
