iPad Pro 13-inch (M4)
Geekbench AI Score
4851
Single Precision Score
36007
Half Precision Score
50416
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 04:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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% |
2063
383.6 IPS |
|
|
Image Classification (HP)
|
100% |
16784
3.12 KIPS |
|
|
Image Classification (Q)
|
97% |
23008
4.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2071
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22306
361.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30441
493.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10001
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122666
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232307
272.3 IPS |
|
|
Object Detection (SP)
|
100% |
2419
191.9 IPS |
|
|
Object Detection (HP)
|
100% |
17927
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25975
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4254
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
42081
500.0 IPS |
|
|
Face Detection (Q)
|
100% |
62116
738.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8492
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
98912
762.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
161775
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24324
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
232734
299.2 IPS |
|
|
Style Transfer (Q)
|
96% |
320550
413.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6024
222.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52942
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82339
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2938
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5328
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5277
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
4494
77.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16288
280.6 IPS |
|
|
Machine Translation (Q)
|
98% |
17939
310.0 IPS |
