iPhone 13 Pro Max
Geekbench AI Score
3109
Single Precision Score
5756
Half Precision Score
4689
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 15 2025 06:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1268
235.8 IPS |
|
|
Image Classification (HP)
|
100% |
2410
448.2 IPS |
|
|
Image Classification (Q)
|
96% |
1673
312.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1248
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1946
31.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2431
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5718
6.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
14018
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11799
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1330
105.5 IPS |
|
|
Object Detection (HP)
|
97% |
2715
216.1 IPS |
|
|
Object Detection (Q)
|
94% |
1949
155.3 IPS |
|
|
Face Detection (SP)
|
100% |
2610
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
5483
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
3129
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5159
39.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10525
81.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7405
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16555
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27138
34.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22699
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3593
132.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4877
180.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3671
135.5 IPS |
|
|
Text Classification (SP)
|
100% |
2557
3.41 KIPS |
|
|
Text Classification (HP)
|
99% |
4391
5.86 KIPS |
|
|
Text Classification (Q)
|
93% |
4281
5.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3430
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6674
115.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6649
114.9 IPS |
