iPhone 13 Pro Max
Geekbench AI Score
3179
Single Precision Score
5800
Half Precision Score
4739
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 29 2025 08:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1265
235.2 IPS |
|
|
Image Classification (HP)
|
100% |
2419
449.8 IPS |
|
|
Image Classification (Q)
|
96% |
1675
312.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1257
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1959
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2458
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6123
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
14516
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12423
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1362
108.0 IPS |
|
|
Object Detection (HP)
|
97% |
2769
220.4 IPS |
|
|
Object Detection (Q)
|
94% |
1982
158.0 IPS |
|
|
Face Detection (SP)
|
100% |
2653
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
5700
67.7 IPS |
|
|
Face Detection (Q)
|
100% |
3246
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5263
40.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10645
82.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7487
58.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17379
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27642
35.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22694
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3631
134.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4781
176.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3697
136.5 IPS |
|
|
Text Classification (SP)
|
100% |
2588
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4235
5.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4122
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3489
60.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6664
115.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6709
115.9 IPS |
