iPhone 13 Pro Max
Geekbench AI Score
3267
Single Precision Score
5689
Half Precision Score
4610
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Farzad |
| Upload Date | February 19 2025 11:21 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| Model | iPhone 13 Pro Max |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1352
251.4 IPS |
|
|
Image Classification (HP)
|
100% |
2360
438.9 IPS |
|
|
Image Classification (Q)
|
96% |
1633
304.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2047
33.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2470
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6579
7.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
14177
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12121
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1458
115.7 IPS |
|
|
Object Detection (HP)
|
97% |
2755
219.3 IPS |
|
|
Object Detection (Q)
|
94% |
1944
154.9 IPS |
|
|
Face Detection (SP)
|
100% |
2669
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
5722
68.0 IPS |
|
|
Face Detection (Q)
|
100% |
3257
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5342
41.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11149
86.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7593
59.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17768
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26939
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22415
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3992
147.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4646
171.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3490
128.9 IPS |
|
|
Text Classification (SP)
|
100% |
2422
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4110
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4082
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3408
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5742
99.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5784
100.0 IPS |
