iPad Pro 11-inch (M4)
Geekbench AI Score
4714
Single Precision Score
36460
Half Precision Score
51682
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 11:03 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2001
372.2 IPS |
|
|
Image Classification (HP)
|
100% |
16861
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
24509
4.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22088
358.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30546
495.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10074
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123762
144.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
234051
274.3 IPS |
|
|
Object Detection (SP)
|
100% |
2218
175.9 IPS |
|
|
Object Detection (HP)
|
100% |
18451
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
27011
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3990
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
43404
515.7 IPS |
|
|
Face Detection (Q)
|
100% |
63173
750.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8318
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98988
762.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
167912
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25067
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
235121
302.3 IPS |
|
|
Style Transfer (Q)
|
96% |
296316
382.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5840
215.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48841
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84842
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3002
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
6026
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5961
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3899
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16421
282.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18072
312.3 IPS |
