iPad Pro 13-inch (M4)
Geekbench AI Score
4980
Single Precision Score
36235
Half Precision Score
51857
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 10:39 PM |
| Views | 1 |
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, 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% |
2117
393.7 IPS |
|
|
Image Classification (HP)
|
100% |
16929
3.15 KIPS |
|
|
Image Classification (Q)
|
97% |
26933
5.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2205
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22481
364.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30943
501.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10108
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122779
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
232502
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2471
196.0 IPS |
|
|
Object Detection (HP)
|
100% |
18157
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25883
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4313
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
42738
507.8 IPS |
|
|
Face Detection (Q)
|
100% |
63308
752.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8586
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99231
764.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
165912
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24415
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
233111
299.7 IPS |
|
|
Style Transfer (Q)
|
96% |
320110
413.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6026
222.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50655
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83051
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3234
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5592
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5560
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4571
78.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16426
282.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18061
312.1 IPS |
