iPad Pro 13-inch (M4)
Geekbench AI Score
8753
Single Precision Score
10546
Half Precision Score
9524
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | randymassey |
| Upload Date | January 30 2025 09:19 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4384
815.4 IPS |
|
|
Image Classification (HP)
|
100% |
4822
896.8 IPS |
|
|
Image Classification (Q)
|
97% |
4132
771.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4795
77.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6685
108.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7069
114.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27473
32.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
29644
34.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
28296
33.2 IPS |
|
|
Object Detection (SP)
|
100% |
4685
371.6 IPS |
|
|
Object Detection (HP)
|
100% |
5228
414.7 IPS |
|
|
Object Detection (Q)
|
91% |
4375
349.6 IPS |
|
|
Face Detection (SP)
|
100% |
12735
151.3 IPS |
|
|
Face Detection (HP)
|
100% |
16255
193.1 IPS |
|
|
Face Detection (Q)
|
100% |
12002
142.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20125
155.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22171
170.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
19302
150.9 IPS |
|
|
Style Transfer (SP)
|
100% |
55855
71.8 IPS |
|
|
Style Transfer (HP)
|
100% |
66178
85.1 IPS |
|
|
Style Transfer (Q)
|
96% |
62336
80.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11425
421.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12673
468.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10410
384.4 IPS |
|
|
Text Classification (SP)
|
100% |
3023
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5432
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5635
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1975
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2075
35.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2005
34.7 IPS |
