iPhone 13 Pro Max
Geekbench AI Score
3737
Single Precision Score
4151
Half Precision Score
3740
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 17 2025 05:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1499
278.8 IPS |
|
|
Image Classification (HP)
|
100% |
1205
224.0 IPS |
|
|
Image Classification (Q)
|
97% |
1441
268.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2264
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2515
40.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2533
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11260
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12270
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11298
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1931
153.2 IPS |
|
|
Object Detection (HP)
|
100% |
1953
154.9 IPS |
|
|
Object Detection (Q)
|
91% |
1571
125.5 IPS |
|
|
Face Detection (SP)
|
100% |
4707
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
6313
75.0 IPS |
|
|
Face Detection (Q)
|
100% |
4093
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8599
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9228
71.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7402
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18650
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22963
29.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21378
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4739
175.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4629
170.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3771
139.3 IPS |
|
|
Text Classification (SP)
|
100% |
2450
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4150
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4137
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
822
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
815
14.0 IPS |
|
|
Machine Translation (Q)
|
98% |
818
14.1 IPS |
