iPhone 13 Pro Max
Geekbench AI Score
2574
Single Precision Score
4174
Half Precision Score
3651
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 29 2025 01:55 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1331
247.4 IPS |
|
|
Image Classification (HP)
|
100% |
1717
319.4 IPS |
|
|
Image Classification (Q)
|
96% |
1554
290.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1184
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1377
22.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2065
33.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5171
6.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
6979
8.14 IPS |
|
|
Pose Estimation (Q)
|
95% |
6094
7.14 IPS |
|
|
Object Detection (SP)
|
100% |
1058
83.9 IPS |
|
|
Object Detection (HP)
|
97% |
2014
160.3 IPS |
|
|
Object Detection (Q)
|
94% |
1440
114.8 IPS |
|
|
Face Detection (SP)
|
100% |
2228
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
4149
49.3 IPS |
|
|
Face Detection (Q)
|
100% |
2423
28.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4027
31.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
7844
60.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
5782
45.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12469
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17957
23.1 IPS |
|
|
Style Transfer (Q)
|
96% |
15857
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2095
77.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3253
120.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2642
97.5 IPS |
|
|
Text Classification (SP)
|
100% |
2151
2.87 KIPS |
|
|
Text Classification (HP)
|
99% |
3954
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4109
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2945
50.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6432
111.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6198
107.1 IPS |
