iPad Pro 11-inch (M4)
Geekbench AI Score
4921
Single Precision Score
36922
Half Precision Score
51935
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 27 2025 09:40 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2064
383.8 IPS |
|
|
Image Classification (HP)
|
100% |
18401
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
24942
4.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22508
364.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31012
502.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10056
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122697
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232431
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2438
193.4 IPS |
|
|
Object Detection (HP)
|
100% |
18959
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
26712
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4272
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
43666
518.8 IPS |
|
|
Face Detection (Q)
|
100% |
62638
744.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8504
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
100211
772.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
170442
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
24189
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
234541
301.5 IPS |
|
|
Style Transfer (Q)
|
96% |
320126
413.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6021
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52258
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86604
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3150
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
5412
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5403
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4552
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16837
290.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18589
321.2 IPS |
