iPhone 13 Pro Max
Geekbench AI Score
3274
Single Precision Score
5718
Half Precision Score
4607
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | markbyrn |
| Upload Date | October 03 2024 11:48 PM |
| 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% |
1368
254.4 IPS |
|
|
Image Classification (HP)
|
100% |
2379
442.4 IPS |
|
|
Image Classification (Q)
|
96% |
1640
306.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2046
33.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2479
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6365
7.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
14296
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12016
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1463
116.0 IPS |
|
|
Object Detection (HP)
|
97% |
2745
218.5 IPS |
|
|
Object Detection (Q)
|
94% |
1950
155.4 IPS |
|
|
Face Detection (SP)
|
100% |
2705
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
5736
68.2 IPS |
|
|
Face Detection (Q)
|
100% |
3231
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5437
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11151
86.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7619
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17799
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27088
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22417
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3935
145.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4741
175.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3511
129.7 IPS |
|
|
Text Classification (SP)
|
100% |
2442
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4181
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4136
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3380
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5698
98.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5651
97.7 IPS |
