iPad Pro 13-inch (M4)
Geekbench AI Score
2384
Single Precision Score
38390
Half Precision Score
55550
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | March 19 2026 04:20 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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)
|
0
|
||
|
Image Classification (HP)
|
100% |
17003
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
28504
5.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2239
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22460
364.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
31936
517.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8766
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122904
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
231610
271.5 IPS |
|
|
Object Detection (SP)
|
100% |
2462
195.3 IPS |
|
|
Object Detection (HP)
|
100% |
17828
1.41 KIPS |
|
|
Object Detection (Q)
|
89% |
26495
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4509
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
43273
514.2 IPS |
|
|
Face Detection (Q)
|
100% |
71870
854.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8110
62.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99021
762.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
162505
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
22679
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
235719
303.0 IPS |
|
|
Style Transfer (Q)
|
96% |
290985
375.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5258
194.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50716
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83450
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
6260
8.36 KIPS |
|
|
Text Classification (HP)
|
99% |
9849
13.1 KIPS |
|
|
Text Classification (Q)
|
93% |
9737
13.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
4504
77.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16472
283.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18140
313.5 IPS |
