iPhone 13 Pro Max
Geekbench AI Score
1565
Single Precision Score
2620
Half Precision Score
2104
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 05:54 AM |
| Views | 1 |
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% |
586
109.0 IPS |
|
|
Image Classification (HP)
|
100% |
1054
196.0 IPS |
|
|
Image Classification (Q)
|
96% |
728
135.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
710
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
996
16.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1149
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2957
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
6366
7.43 IPS |
|
|
Pose Estimation (Q)
|
95% |
5476
6.42 IPS |
|
|
Object Detection (SP)
|
100% |
648
51.4 IPS |
|
|
Object Detection (HP)
|
97% |
1215
96.7 IPS |
|
|
Object Detection (Q)
|
94% |
861
68.6 IPS |
|
|
Face Detection (SP)
|
100% |
1548
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
2603
30.9 IPS |
|
|
Face Detection (Q)
|
100% |
1489
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2420
18.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
4781
37.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
3284
25.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7866
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12037
15.5 IPS |
|
|
Style Transfer (Q)
|
96% |
9989
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1791
66.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2167
80.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1578
58.3 IPS |
|
|
Text Classification (SP)
|
100% |
1160
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
2030
2.71 KIPS |
|
|
Text Classification (Q)
|
93% |
2021
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1817
31.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2855
49.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2772
47.9 IPS |
