iPad Pro 13-inch (M4)
Geekbench AI Score
4962
Single Precision Score
36281
Half Precision Score
50896
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 10:41 PM |
| Views | 6 |
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 | iPad16,6 |
| 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% |
2133
396.7 IPS |
|
|
Image Classification (HP)
|
100% |
17055
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
23494
4.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22374
362.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30822
499.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9967
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122624
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
230809
270.5 IPS |
|
|
Object Detection (SP)
|
100% |
2454
194.6 IPS |
|
|
Object Detection (HP)
|
100% |
17591
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25504
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4312
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
42053
499.7 IPS |
|
|
Face Detection (Q)
|
100% |
62033
737.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8587
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98639
760.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
162176
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24310
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
231402
297.5 IPS |
|
|
Style Transfer (Q)
|
96% |
319226
411.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6054
223.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52271
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82933
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3218
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5771
7.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5660
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4608
79.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16582
285.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18152
313.7 IPS |
