iPhone 13 Pro Max
Geekbench AI Score
3278
Single Precision Score
5708
Half Precision Score
4620
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | December 08 2024 04:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1345
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
2374
441.5 IPS |
|
|
Image Classification (Q)
|
96% |
1635
305.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2035
33.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2473
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6489
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
14172
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11976
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1466
116.3 IPS |
|
|
Object Detection (HP)
|
97% |
2755
219.3 IPS |
|
|
Object Detection (Q)
|
94% |
1952
155.6 IPS |
|
|
Face Detection (SP)
|
100% |
2675
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
5758
68.4 IPS |
|
|
Face Detection (Q)
|
100% |
3241
38.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5474
42.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11178
86.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7649
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17771
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27000
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22655
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3977
146.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4750
175.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3493
129.0 IPS |
|
|
Text Classification (SP)
|
100% |
2423
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4119
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4155
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3421
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5734
99.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5751
99.4 IPS |
