iPhone 13 Pro Max
Geekbench AI Score
3176
Single Precision Score
5793
Half Precision Score
4730
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | bmalzahrani |
| Upload Date | April 17 2026 11:14 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
1271
236.4 IPS |
|
|
Image Classification (HP)
|
100% |
2415
449.1 IPS |
|
|
Image Classification (Q)
|
96% |
1669
311.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1263
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1970
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2459
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6134
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
14476
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12194
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1336
106.0 IPS |
|
|
Object Detection (HP)
|
97% |
2737
217.9 IPS |
|
|
Object Detection (Q)
|
94% |
1984
158.2 IPS |
|
|
Face Detection (SP)
|
100% |
2653
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
5736
68.2 IPS |
|
|
Face Detection (Q)
|
100% |
3245
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5250
40.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10645
82.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7479
58.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17439
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27721
35.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22863
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3636
134.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4798
177.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3696
136.5 IPS |
|
|
Text Classification (SP)
|
100% |
2600
3.47 KIPS |
|
|
Text Classification (HP)
|
99% |
4133
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4116
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3463
59.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6733
116.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6692
115.6 IPS |
