iPhone 13 Pro Max
Geekbench AI Score
3166
Single Precision Score
19901
Half Precision Score
22711
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | January 29 2026 07:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1269
235.9 IPS |
|
|
Image Classification (HP)
|
100% |
7572
1.41 KIPS |
|
|
Image Classification (Q)
|
96% |
10815
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12962
210.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
14577
236.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5962
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
82514
96.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
91046
106.7 IPS |
|
|
Object Detection (SP)
|
100% |
1345
106.7 IPS |
|
|
Object Detection (HP)
|
99% |
10499
835.2 IPS |
|
|
Object Detection (Q)
|
91% |
11971
956.5 IPS |
|
|
Face Detection (SP)
|
100% |
2554
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
27888
331.4 IPS |
|
|
Face Detection (Q)
|
100% |
35453
421.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5137
39.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
55702
429.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
76334
596.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17343
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
158171
203.3 IPS |
|
|
Style Transfer (Q)
|
96% |
147792
190.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3746
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29730
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30249
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2628
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2557
3.41 KIPS |
|
|
Text Classification (Q)
|
93% |
2514
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3450
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6137
105.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6986
120.7 IPS |
