iPhone 13 Pro Max
Geekbench AI Score
3164
Single Precision Score
5658
Half Precision Score
4562
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 14 2025 01:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1342
249.5 IPS |
|
|
Image Classification (HP)
|
100% |
2366
440.1 IPS |
|
|
Image Classification (Q)
|
96% |
1626
303.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1269
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1984
32.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2325
37.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5882
6.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
13639
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11533
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1406
111.5 IPS |
|
|
Object Detection (HP)
|
97% |
2698
214.8 IPS |
|
|
Object Detection (Q)
|
94% |
1881
149.9 IPS |
|
|
Face Detection (SP)
|
100% |
2607
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
5470
65.0 IPS |
|
|
Face Detection (Q)
|
100% |
3047
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5105
39.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10355
80.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7194
56.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16446
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27478
35.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22596
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3775
139.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4736
174.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3632
134.1 IPS |
|
|
Text Classification (SP)
|
100% |
2449
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4229
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4205
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3530
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6251
108.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6304
108.9 IPS |
