iPhone 13 Pro Max
Geekbench AI Score
3196
Single Precision Score
5624
Half Precision Score
4544
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 02:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1327
246.8 IPS |
|
|
Image Classification (HP)
|
100% |
2350
437.0 IPS |
|
|
Image Classification (Q)
|
96% |
1623
303.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2034
33.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2454
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6231
7.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
13683
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11665
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1414
112.2 IPS |
|
|
Object Detection (HP)
|
97% |
2700
214.9 IPS |
|
|
Object Detection (Q)
|
94% |
1919
153.0 IPS |
|
|
Face Detection (SP)
|
100% |
2610
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
5558
66.0 IPS |
|
|
Face Detection (Q)
|
100% |
3130
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5283
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10973
84.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7420
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17084
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26844
34.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22233
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3877
143.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4659
172.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3450
127.4 IPS |
|
|
Text Classification (SP)
|
100% |
2416
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4150
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4220
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3374
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5669
98.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5609
96.9 IPS |
