iPhone 13 Pro Max
Geekbench AI Score
4058
Single Precision Score
4604
Half Precision Score
4361
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Matso |
| Upload Date | March 11 2026 02:12 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1687
313.8 IPS |
|
|
Image Classification (HP)
|
100% |
1681
312.6 IPS |
|
|
Image Classification (Q)
|
94% |
1616
302.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2817
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2919
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2775
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11340
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12717
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12290
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1982
157.2 IPS |
|
|
Object Detection (HP)
|
100% |
2027
160.7 IPS |
|
|
Object Detection (Q)
|
91% |
1931
154.3 IPS |
|
|
Face Detection (SP)
|
100% |
4952
58.8 IPS |
|
|
Face Detection (HP)
|
100% |
6514
77.4 IPS |
|
|
Face Detection (Q)
|
100% |
5823
69.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8562
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9214
71.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8703
68.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18563
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23641
30.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23283
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5000
184.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5064
187.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4510
166.5 IPS |
|
|
Text Classification (SP)
|
100% |
2580
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
4204
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4232
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1117
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1122
19.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1039
18.0 IPS |
