iPad Pro 13-inch (M4)
Geekbench AI Score
4949
Single Precision Score
35908
Half Precision Score
50721
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jungsungyun |
| Upload Date | October 22 2025 05:01 PM |
| Views | 10 |
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% |
2094
389.4 IPS |
|
|
Image Classification (HP)
|
100% |
16629
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
23586
4.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2174
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22335
362.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30944
501.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10068
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122570
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231831
271.7 IPS |
|
|
Object Detection (SP)
|
100% |
2444
193.8 IPS |
|
|
Object Detection (HP)
|
100% |
17823
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
26181
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4319
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
42567
505.8 IPS |
|
|
Face Detection (Q)
|
100% |
62206
739.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8544
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98516
759.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
164143
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24539
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
232830
299.3 IPS |
|
|
Style Transfer (Q)
|
96% |
318816
411.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6046
223.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50391
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81398
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3156
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
5484
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5420
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4558
78.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16281
280.4 IPS |
|
|
Machine Translation (Q)
|
98% |
17713
306.1 IPS |
