iPhone 13 Pro Max
Geekbench AI Score
3966
Single Precision Score
4466
Half Precision Score
4208
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Ryan900 |
| Upload Date | July 29 2025 07:24 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1653
307.5 IPS |
|
|
Image Classification (HP)
|
100% |
1499
278.8 IPS |
|
|
Image Classification (Q)
|
96% |
1613
301.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2790
45.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2843
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2737
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11246
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12681
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12292
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1942
154.0 IPS |
|
|
Object Detection (HP)
|
100% |
2019
160.2 IPS |
|
|
Object Detection (Q)
|
92% |
1819
145.2 IPS |
|
|
Face Detection (SP)
|
100% |
4776
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
6049
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
4797
57.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8709
67.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9155
70.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8587
67.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18823
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23697
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22913
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4918
181.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5101
188.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4366
161.2 IPS |
|
|
Text Classification (SP)
|
100% |
2472
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4266
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4243
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1005
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1015
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1009
17.4 IPS |
