iPad Pro 13-inch (M4)
Geekbench AI Score
8769
Single Precision Score
10289
Half Precision Score
9510
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | March 19 2025 07:05 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
4419
821.7 IPS |
|
|
Image Classification (HP)
|
100% |
4849
901.7 IPS |
|
|
Image Classification (Q)
|
97% |
4146
773.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4809
78.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6721
108.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7155
116.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27913
32.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
29941
34.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
28515
33.4 IPS |
|
|
Object Detection (SP)
|
100% |
4650
368.8 IPS |
|
|
Object Detection (HP)
|
100% |
5212
413.4 IPS |
|
|
Object Detection (Q)
|
91% |
4412
352.6 IPS |
|
|
Face Detection (SP)
|
100% |
12857
152.8 IPS |
|
|
Face Detection (HP)
|
100% |
16339
194.1 IPS |
|
|
Face Detection (Q)
|
100% |
12185
144.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20217
155.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22349
172.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
19116
149.4 IPS |
|
|
Style Transfer (SP)
|
100% |
54640
70.2 IPS |
|
|
Style Transfer (HP)
|
100% |
66325
85.3 IPS |
|
|
Style Transfer (Q)
|
96% |
63112
81.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11745
433.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12709
469.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10222
377.4 IPS |
|
|
Text Classification (SP)
|
100% |
2945
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5167
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5138
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1986
34.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1645
28.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2101
36.3 IPS |
