iPhone 13 Pro Max
Geekbench AI Score
2972
Single Precision Score
4441
Half Precision Score
3676
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Pilfink |
| Upload Date | August 18 2024 12:07 PM |
| Views | 5 |
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% |
1406
261.4 IPS |
|
|
Image Classification (HP)
|
100% |
1766
328.5 IPS |
|
|
Image Classification (Q)
|
99% |
1765
329.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1134
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1119
18.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1134
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5708
6.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
13382
15.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
11376
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1417
112.4 IPS |
|
|
Object Detection (HP)
|
97% |
2094
166.7 IPS |
|
|
Object Detection (Q)
|
94% |
1592
126.9 IPS |
|
|
Face Detection (SP)
|
100% |
2323
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
3926
46.7 IPS |
|
|
Face Detection (Q)
|
100% |
2502
29.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4814
37.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7807
60.3 IPS |
|
|
Depth Estimation (Q)
|
96% |
3973
30.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16010
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25057
32.2 IPS |
|
|
Style Transfer (Q)
|
100% |
24900
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3496
129.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4797
177.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3456
128.0 IPS |
|
|
Text Classification (SP)
|
100% |
2369
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3459
4.62 KIPS |
|
|
Text Classification (Q)
|
93% |
3416
4.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2813
48.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4233
73.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4254
73.5 IPS |
