iPhone 13 Pro Max
Geekbench AI Score
3905
Single Precision Score
4478
Half Precision Score
4016
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 19 2025 12:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1532
285.0 IPS |
|
|
Image Classification (HP)
|
100% |
1523
283.2 IPS |
|
|
Image Classification (Q)
|
96% |
1284
239.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2807
45.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2938
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2807
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11233
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12693
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12311
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1931
153.2 IPS |
|
|
Object Detection (HP)
|
100% |
2048
162.4 IPS |
|
|
Object Detection (Q)
|
92% |
1747
139.4 IPS |
|
|
Face Detection (SP)
|
100% |
4889
58.1 IPS |
|
|
Face Detection (HP)
|
100% |
6379
75.8 IPS |
|
|
Face Detection (Q)
|
100% |
4961
58.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8514
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9446
72.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8315
64.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18563
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23346
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22560
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4688
173.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4847
179.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4079
150.6 IPS |
|
|
Text Classification (SP)
|
100% |
2471
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
3959
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3988
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
988
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1034
17.8 IPS |
|
|
Machine Translation (Q)
|
98% |
930
16.1 IPS |
