iPhone 13 Pro Max
Geekbench AI Score
3172
Single Precision Score
18281
Half Precision Score
20569
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 29 2025 08:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1273
236.6 IPS |
|
|
Image Classification (HP)
|
100% |
7807
1.45 KIPS |
|
|
Image Classification (Q)
|
96% |
7931
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1257
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11756
190.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
14737
238.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6155
7.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
78214
91.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
88609
103.9 IPS |
|
|
Object Detection (SP)
|
100% |
1355
107.5 IPS |
|
|
Object Detection (HP)
|
99% |
10308
820.0 IPS |
|
|
Object Detection (Q)
|
91% |
11977
957.0 IPS |
|
|
Face Detection (SP)
|
100% |
2642
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
25613
304.3 IPS |
|
|
Face Detection (Q)
|
100% |
32614
387.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5151
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
57936
446.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
67219
525.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17468
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
151673
195.0 IPS |
|
|
Style Transfer (Q)
|
96% |
146308
188.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3636
134.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26673
984.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27495
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2579
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1520
2.03 KIPS |
|
|
Text Classification (Q)
|
93% |
1784
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3475
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6177
106.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6948
120.1 IPS |
