iPad Pro 13-inch (M4)
Geekbench AI Score
4925
Single Precision Score
36287
Half Precision Score
51105
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 03:05 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% |
2075
385.9 IPS |
|
|
Image Classification (HP)
|
100% |
17587
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
23782
4.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2082
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22271
361.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30864
500.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10073
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122733
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231910
271.8 IPS |
|
|
Object Detection (SP)
|
100% |
2428
192.6 IPS |
|
|
Object Detection (HP)
|
100% |
17804
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25928
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4258
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
42697
507.3 IPS |
|
|
Face Detection (Q)
|
100% |
61915
735.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8499
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99156
763.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
165069
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24488
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
234547
301.5 IPS |
|
|
Style Transfer (Q)
|
96% |
320376
413.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6101
225.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51045
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82206
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5518
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5576
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4540
78.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16539
284.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18347
317.1 IPS |
