iPhone 13 Pro Max
Geekbench AI Score
2171
Single Precision Score
10676
Half Precision Score
12106
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 07:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1188
221.0 IPS |
|
|
Image Classification (HP)
|
100% |
4382
815.0 IPS |
|
|
Image Classification (Q)
|
96% |
5203
971.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
664
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3733
60.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5950
96.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5719
6.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
70026
81.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
75915
89.0 IPS |
|
|
Object Detection (SP)
|
100% |
1218
96.6 IPS |
|
|
Object Detection (HP)
|
99% |
5545
441.1 IPS |
|
|
Object Detection (Q)
|
93% |
6736
537.5 IPS |
|
|
Face Detection (SP)
|
100% |
1884
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
10506
124.8 IPS |
|
|
Face Detection (Q)
|
100% |
12241
145.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3714
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
34603
266.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
41495
324.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10141
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
98223
126.3 IPS |
|
|
Style Transfer (Q)
|
95% |
82093
106.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3022
111.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13080
483.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16079
593.7 IPS |
|
|
Text Classification (SP)
|
100% |
1285
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
3017
4.03 KIPS |
|
|
Text Classification (Q)
|
93% |
2972
3.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1540
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2150
37.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2144
37.1 IPS |
