iPhone 13 Pro Max
Geekbench AI Score
3946
Single Precision Score
4382
Half Precision Score
4147
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 29 2025 07:32 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1739
323.4 IPS |
|
|
Image Classification (HP)
|
100% |
1483
275.7 IPS |
|
|
Image Classification (Q)
|
96% |
1629
304.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2795
45.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2875
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2735
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11263
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12693
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12307
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1961
155.6 IPS |
|
|
Object Detection (HP)
|
100% |
1989
157.8 IPS |
|
|
Object Detection (Q)
|
92% |
1841
146.9 IPS |
|
|
Face Detection (SP)
|
100% |
4847
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
6281
74.6 IPS |
|
|
Face Detection (Q)
|
100% |
4841
57.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8483
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9165
70.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8486
66.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18876
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20380
26.2 IPS |
|
|
Style Transfer (Q)
|
96% |
19850
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4464
164.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5009
185.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4395
162.3 IPS |
|
|
Text Classification (SP)
|
100% |
2472
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4200
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4156
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
998
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1002
17.3 IPS |
