iPhone 13 Pro Max
Geekbench AI Score
3202
Single Precision Score
5693
Half Precision Score
4585
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 02:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1343
249.7 IPS |
|
|
Image Classification (HP)
|
100% |
2325
432.4 IPS |
|
|
Image Classification (Q)
|
96% |
1608
300.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1257
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1952
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2405
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6328
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
14251
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11880
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1398
110.9 IPS |
|
|
Object Detection (HP)
|
97% |
2693
214.4 IPS |
|
|
Object Detection (Q)
|
94% |
1913
152.5 IPS |
|
|
Face Detection (SP)
|
100% |
2630
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
5532
65.7 IPS |
|
|
Face Detection (Q)
|
100% |
3115
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5147
39.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10391
80.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7215
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16774
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27558
35.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22513
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3822
141.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4771
176.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3607
133.2 IPS |
|
|
Text Classification (SP)
|
100% |
2463
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4343
5.80 KIPS |
|
|
Text Classification (Q)
|
93% |
4234
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3556
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6257
108.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6047
104.5 IPS |
