iPad Pro 11-inch (M4)
Geekbench AI Score
8918
Single Precision Score
10584
Half Precision Score
9356
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 11:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4495
836.0 IPS |
|
|
Image Classification (HP)
|
100% |
4857
903.2 IPS |
|
|
Image Classification (Q)
|
97% |
4127
770.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4954
80.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6719
108.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7182
116.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
28180
32.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
30066
35.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
28516
33.4 IPS |
|
|
Object Detection (SP)
|
100% |
4736
375.7 IPS |
|
|
Object Detection (HP)
|
100% |
5227
414.6 IPS |
|
|
Object Detection (Q)
|
91% |
4449
355.5 IPS |
|
|
Face Detection (SP)
|
100% |
12960
154.0 IPS |
|
|
Face Detection (HP)
|
100% |
16371
194.5 IPS |
|
|
Face Detection (Q)
|
100% |
12011
142.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20393
157.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22389
172.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
18907
147.8 IPS |
|
|
Style Transfer (SP)
|
100% |
57726
74.2 IPS |
|
|
Style Transfer (HP)
|
100% |
67632
86.9 IPS |
|
|
Style Transfer (Q)
|
96% |
63967
82.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11932
440.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12655
467.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10294
380.1 IPS |
|
|
Text Classification (SP)
|
100% |
3006
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5305
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5406
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1958
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2068
35.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1692
29.2 IPS |
