iPad Pro 13-inch (M4)
Geekbench AI Score
4769
Single Precision Score
36456
Half Precision Score
51454
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 01 2025 12:08 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2006
373.1 IPS |
|
|
Image Classification (HP)
|
100% |
16669
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
23844
4.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2088
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21940
355.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30143
488.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10059
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123463
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
233467
273.6 IPS |
|
|
Object Detection (SP)
|
100% |
2222
176.3 IPS |
|
|
Object Detection (HP)
|
100% |
19096
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
25714
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
3923
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
43004
511.0 IPS |
|
|
Face Detection (Q)
|
100% |
63686
756.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8253
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
98907
762.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
171981
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
25153
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233273
299.9 IPS |
|
|
Style Transfer (Q)
|
96% |
297271
383.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5740
211.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49169
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82233
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3496
4.67 KIPS |
|
|
Text Classification (HP)
|
100% |
6007
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
6260
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3979
68.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16412
282.7 IPS |
|
|
Machine Translation (Q)
|
98% |
17988
310.8 IPS |
