iPhone 13 Pro Max
Geekbench AI Score
3304
Single Precision Score
5737
Half Precision Score
4635
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | October 14 2024 10:17 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1362
253.3 IPS |
|
|
Image Classification (HP)
|
100% |
2368
440.4 IPS |
|
|
Image Classification (Q)
|
96% |
1627
303.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2040
33.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2488
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6676
7.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
14387
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12266
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1481
117.5 IPS |
|
|
Object Detection (HP)
|
97% |
2758
219.5 IPS |
|
|
Object Detection (Q)
|
94% |
1943
154.9 IPS |
|
|
Face Detection (SP)
|
100% |
2718
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
5784
68.7 IPS |
|
|
Face Detection (Q)
|
100% |
3275
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5537
42.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11203
86.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7658
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17890
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27121
34.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22626
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3981
147.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4773
176.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3531
130.4 IPS |
|
|
Text Classification (SP)
|
100% |
2432
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4179
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4143
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3397
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5756
99.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5725
98.9 IPS |
