iPhone 13 Pro Max
Geekbench AI Score
3007
Single Precision Score
4530
Half Precision Score
3863
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 04:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1420
264.1 IPS |
|
|
Image Classification (HP)
|
100% |
1772
329.5 IPS |
|
|
Image Classification (Q)
|
96% |
1359
253.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1149
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1129
18.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1661
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5981
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
13723
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11777
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1468
116.4 IPS |
|
|
Object Detection (HP)
|
97% |
2113
168.2 IPS |
|
|
Object Detection (Q)
|
94% |
1616
128.8 IPS |
|
|
Face Detection (SP)
|
100% |
2401
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
4046
48.1 IPS |
|
|
Face Detection (Q)
|
100% |
2617
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4998
38.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
8030
62.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6091
47.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16352
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25533
32.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21268
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3553
131.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4689
173.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3528
130.3 IPS |
|
|
Text Classification (SP)
|
100% |
2343
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3698
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3643
4.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2591
44.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4362
75.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3962
68.5 IPS |
