iPhone 13 Pro Max
Geekbench AI Score
3267
Single Precision Score
19965
Half Precision Score
22710
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 19 2025 12:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1332
247.7 IPS |
|
|
Image Classification (HP)
|
100% |
8150
1.52 KIPS |
|
|
Image Classification (Q)
|
96% |
10488
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1256
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12760
206.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14687
238.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6471
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
94590
110.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
96334
112.9 IPS |
|
|
Object Detection (SP)
|
100% |
1461
115.9 IPS |
|
|
Object Detection (HP)
|
99% |
10576
841.3 IPS |
|
|
Object Detection (Q)
|
91% |
11411
911.8 IPS |
|
|
Face Detection (SP)
|
100% |
2607
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
29276
347.9 IPS |
|
|
Face Detection (Q)
|
100% |
37241
442.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5381
41.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
54820
422.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
73044
570.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17581
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
148809
191.3 IPS |
|
|
Style Transfer (Q)
|
96% |
168168
217.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3953
146.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27676
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27829
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2465
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2344
3.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2413
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3653
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6245
107.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7017
121.3 IPS |
