iPad Pro 13-inch (M4)
Geekbench AI Score
4951
Single Precision Score
36307
Half Precision Score
51032
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 12:54 AM |
| Views | 2 |
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, 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% |
2124
394.9 IPS |
|
|
Image Classification (HP)
|
100% |
16685
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
22489
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22296
361.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30602
496.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10154
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122692
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232492
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2449
194.3 IPS |
|
|
Object Detection (HP)
|
100% |
17555
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25550
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4293
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
42843
509.1 IPS |
|
|
Face Detection (Q)
|
100% |
62544
743.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8530
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
100391
773.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
161859
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24213
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
229880
295.5 IPS |
|
|
Style Transfer (Q)
|
96% |
319628
412.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6065
224.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51771
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84600
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3275
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5906
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5955
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
4520
77.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16436
283.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17977
310.7 IPS |
