iPhone 13 Pro Max
Geekbench AI Score
3157
Single Precision Score
5813
Half Precision Score
4756
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | TofuBoi |
| Upload Date | December 08 2025 03:48 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1257
233.8 IPS |
|
|
Image Classification (HP)
|
100% |
2411
448.3 IPS |
|
|
Image Classification (Q)
|
96% |
1668
311.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1242
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1962
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2453
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6176
7.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
14571
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12553
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1350
107.1 IPS |
|
|
Object Detection (HP)
|
97% |
2726
217.0 IPS |
|
|
Object Detection (Q)
|
94% |
1962
156.4 IPS |
|
|
Face Detection (SP)
|
100% |
2585
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
5749
68.3 IPS |
|
|
Face Detection (Q)
|
100% |
3256
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5142
39.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10609
82.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7544
59.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17468
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27645
35.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23008
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3677
135.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5020
185.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3727
137.6 IPS |
|
|
Text Classification (SP)
|
100% |
2551
3.41 KIPS |
|
|
Text Classification (HP)
|
99% |
4158
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4163
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3480
59.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6667
115.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6705
115.9 IPS |
