iPhone 13 Pro Max
Geekbench AI Score
3772
Single Precision Score
4205
Half Precision Score
3731
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | MiataRacer28 |
| Upload Date | November 02 2024 10:57 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1661
309.0 IPS |
|
|
Image Classification (HP)
|
100% |
1472
273.8 IPS |
|
|
Image Classification (Q)
|
97% |
1494
278.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2252
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2501
40.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2496
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11261
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12384
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11498
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1947
154.5 IPS |
|
|
Object Detection (HP)
|
100% |
2018
160.1 IPS |
|
|
Object Detection (Q)
|
91% |
1635
130.7 IPS |
|
|
Face Detection (SP)
|
100% |
4769
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
6043
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
4065
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8334
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9030
69.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7373
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18763
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23234
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21668
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4918
181.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4907
181.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3964
146.4 IPS |
|
|
Text Classification (SP)
|
100% |
2388
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4089
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4058
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
813
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
739
12.7 IPS |
|
|
Machine Translation (Q)
|
98% |
714
12.3 IPS |
