iPhone 13 Pro Max
Geekbench AI Score
2956
Single Precision Score
4453
Half Precision Score
3739
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | yusryprince |
| Upload Date | August 16 2024 11:51 AM |
| Views | 9 |
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% |
1405
261.3 IPS |
|
|
Image Classification (HP)
|
100% |
1768
328.8 IPS |
|
|
Image Classification (Q)
|
99% |
1765
329.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1141
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1122
18.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1122
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5768
6.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
13384
15.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
11356
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1425
113.1 IPS |
|
|
Object Detection (HP)
|
97% |
2091
166.5 IPS |
|
|
Object Detection (Q)
|
94% |
1618
128.9 IPS |
|
|
Face Detection (SP)
|
100% |
2352
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
3988
47.4 IPS |
|
|
Face Detection (Q)
|
100% |
2562
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4835
37.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7958
61.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
4067
31.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16198
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25265
32.5 IPS |
|
|
Style Transfer (Q)
|
100% |
25282
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3514
129.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4652
171.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3454
128.0 IPS |
|
|
Text Classification (SP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3467
4.63 KIPS |
|
|
Text Classification (Q)
|
93% |
3790
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2553
44.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4271
73.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4265
73.7 IPS |
