iPad Pro 13-inch (M4)
Geekbench AI Score
4922
Single Precision Score
36601
Half Precision Score
50778
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 03 2025 09:41 AM |
| Views | 1 |
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% |
2110
392.4 IPS |
|
|
Image Classification (HP)
|
100% |
18482
3.44 KIPS |
|
|
Image Classification (Q)
|
97% |
22627
4.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22337
362.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
31242
506.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10038
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123352
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
231924
271.8 IPS |
|
|
Object Detection (SP)
|
100% |
2431
192.8 IPS |
|
|
Object Detection (HP)
|
100% |
17789
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25821
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4218
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
42951
510.4 IPS |
|
|
Face Detection (Q)
|
100% |
61860
735.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8504
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98558
759.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
168051
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24499
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
235323
302.5 IPS |
|
|
Style Transfer (Q)
|
96% |
319480
412.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6070
224.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52300
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82074
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3132
4.18 KIPS |
|
|
Text Classification (HP)
|
99% |
5584
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5534
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4585
79.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16373
282.0 IPS |
|
|
Machine Translation (Q)
|
98% |
17848
308.4 IPS |
