iPhone 13 Pro Max
Geekbench AI Score
3267
Single Precision Score
5697
Half Precision Score
4614
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 21 2025 05:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1359
252.7 IPS |
|
|
Image Classification (HP)
|
100% |
2380
442.5 IPS |
|
|
Image Classification (Q)
|
96% |
1645
307.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1284
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2028
32.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2483
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6517
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
14239
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12073
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1459
115.7 IPS |
|
|
Object Detection (HP)
|
97% |
2750
218.9 IPS |
|
|
Object Detection (Q)
|
94% |
1940
154.6 IPS |
|
|
Face Detection (SP)
|
100% |
2670
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
5766
68.5 IPS |
|
|
Face Detection (Q)
|
100% |
3261
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5484
42.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11117
85.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7647
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17738
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26967
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22379
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3953
146.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4658
172.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3498
129.2 IPS |
|
|
Text Classification (SP)
|
100% |
2419
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4089
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4067
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3369
58.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5795
100.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5764
99.6 IPS |
