iPhone 13 Pro Max
Geekbench AI Score
3206
Single Precision Score
5638
Half Precision Score
4521
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 01:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1361
253.1 IPS |
|
|
Image Classification (HP)
|
100% |
2371
440.9 IPS |
|
|
Image Classification (Q)
|
96% |
1642
306.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1303
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1998
32.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2447
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6058
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
13851
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11400
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1416
112.3 IPS |
|
|
Object Detection (HP)
|
97% |
2696
214.7 IPS |
|
|
Object Detection (Q)
|
94% |
1849
147.3 IPS |
|
|
Face Detection (SP)
|
100% |
2640
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
5593
66.5 IPS |
|
|
Face Detection (Q)
|
100% |
3117
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5355
41.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10973
84.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7455
58.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16765
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26611
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22087
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3866
142.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4725
174.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3495
129.1 IPS |
|
|
Text Classification (SP)
|
100% |
2478
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
4279
5.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4226
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3325
57.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5556
96.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5568
96.2 IPS |
