iPhone 13 Pro Max
Geekbench AI Score
3084
Single Precision Score
19735
Half Precision Score
22468
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 06:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1222
227.3 IPS |
|
|
Image Classification (HP)
|
100% |
8404
1.56 KIPS |
|
|
Image Classification (Q)
|
96% |
10659
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1204
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12854
208.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
14889
241.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5794
6.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
80444
93.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
84992
99.6 IPS |
|
|
Object Detection (SP)
|
100% |
1321
104.8 IPS |
|
|
Object Detection (HP)
|
99% |
11010
875.9 IPS |
|
|
Object Detection (Q)
|
91% |
11974
956.8 IPS |
|
|
Face Detection (SP)
|
100% |
2529
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
26406
313.8 IPS |
|
|
Face Detection (Q)
|
100% |
36955
439.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5025
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
59019
454.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
74747
584.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17017
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
149149
191.7 IPS |
|
|
Style Transfer (Q)
|
96% |
140031
180.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3597
132.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26599
982.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30204
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2555
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
2447
3.27 KIPS |
|
|
Text Classification (Q)
|
93% |
2562
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3483
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6192
106.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6782
117.2 IPS |
