iPad Pro 13-inch (M4)
Geekbench AI Score
4951
Single Precision Score
36238
Half Precision Score
51104
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 04 2025 08:50 PM |
| Views | 1 |
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 | iPad16,5 |
| Motherboard | J720AP |
| 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% |
2111
392.6 IPS |
|
|
Image Classification (HP)
|
100% |
16758
3.12 KIPS |
|
|
Image Classification (Q)
|
97% |
22963
4.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2168
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22343
362.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
31051
503.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9877
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123084
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
231525
271.4 IPS |
|
|
Object Detection (SP)
|
100% |
2444
193.9 IPS |
|
|
Object Detection (HP)
|
100% |
17756
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25755
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4240
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
43551
517.5 IPS |
|
|
Face Detection (Q)
|
100% |
62613
744.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8598
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98933
762.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
162598
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24213
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
234446
301.4 IPS |
|
|
Style Transfer (Q)
|
96% |
319344
412.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6086
224.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51017
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86368
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3274
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5640
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5608
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4563
78.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16420
282.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18148
313.6 IPS |
