iPad Pro 13-inch (M4)
Geekbench AI Score
4855
Single Precision Score
36428
Half Precision Score
51640
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 03:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2077
386.2 IPS |
|
|
Image Classification (HP)
|
100% |
17114
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
24094
4.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2196
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22067
357.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30388
492.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9999
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122958
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
231176
271.0 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.0 IPS |
|
|
Object Detection (HP)
|
100% |
18460
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
27208
2.17 KIPS |
|
|
Face Detection (SP)
|
100% |
4326
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
42410
503.9 IPS |
|
|
Face Detection (Q)
|
100% |
63055
749.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8684
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98637
759.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
167476
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21906
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
235504
302.7 IPS |
|
|
Style Transfer (Q)
|
96% |
297977
384.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6107
225.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48784
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83446
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2919
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
6038
8.06 KIPS |
|
|
Text Classification (Q)
|
93% |
6135
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4448
76.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16545
285.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18181
314.2 IPS |
