iPhone 13 Pro Max
Geekbench AI Score
3292
Single Precision Score
5761
Half Precision Score
4613
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | November 05 2024 04:30 AM |
| Views | 3 |
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% |
1351
251.2 IPS |
|
|
Image Classification (HP)
|
100% |
2372
441.1 IPS |
|
|
Image Classification (Q)
|
96% |
1644
307.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1333
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2063
33.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2480
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6501
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
14338
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11666
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1469
116.6 IPS |
|
|
Object Detection (HP)
|
97% |
2767
220.3 IPS |
|
|
Object Detection (Q)
|
94% |
1940
154.6 IPS |
|
|
Face Detection (SP)
|
100% |
2695
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
5784
68.7 IPS |
|
|
Face Detection (Q)
|
100% |
3269
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5513
42.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11211
86.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7628
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17759
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27163
34.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22542
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3954
146.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4897
180.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3541
130.8 IPS |
|
|
Text Classification (SP)
|
100% |
2425
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4194
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4145
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3436
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5737
99.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5740
99.2 IPS |
