iPad Pro 13-inch (M4)
Geekbench AI Score
4810
Single Precision Score
36633
Half Precision Score
53366
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | April 06 2025 05:49 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2096
389.8 IPS |
|
|
Image Classification (HP)
|
100% |
17447
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
25322
4.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2230
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22123
358.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30400
492.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10019
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122917
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
230744
270.4 IPS |
|
|
Object Detection (SP)
|
100% |
2447
194.1 IPS |
|
|
Object Detection (HP)
|
100% |
18380
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25781
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4322
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
42296
502.6 IPS |
|
|
Face Detection (Q)
|
100% |
62757
745.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8639
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
100242
772.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
171927
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
19713
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233605
300.3 IPS |
|
|
Style Transfer (Q)
|
96% |
299529
386.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6070
224.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49734
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87941
3.25 KIPS |
|
|
Text Classification (SP)
|
100% |
2933
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
6187
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
7735
10.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
4418
76.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16379
282.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18611
321.6 IPS |
