iPad Pro 13-inch (M4)
Geekbench AI Score
4952
Single Precision Score
36920
Half Precision Score
52446
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | gnu08 |
| Upload Date | November 12 2025 12:03 AM |
| Views | 6 |
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% |
2110
392.4 IPS |
|
|
Image Classification (HP)
|
100% |
18059
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
28392
5.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2150
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22651
367.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
31092
504.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9921
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123320
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
232330
272.3 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.1 IPS |
|
|
Object Detection (HP)
|
100% |
17813
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
27091
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
4307
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
43460
516.4 IPS |
|
|
Face Detection (Q)
|
100% |
63666
756.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8559
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
100213
772.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
164585
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24371
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233459
300.1 IPS |
|
|
Style Transfer (Q)
|
96% |
320750
413.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6074
224.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53631
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83175
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5659
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5602
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4545
78.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16972
292.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18096
312.7 IPS |
