iPhone 13 Pro Max
Geekbench AI Score
3318
Single Precision Score
19907
Half Precision Score
23353
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Trimorphodon |
| Upload Date | March 11 2025 03:42 PM |
| Views | 36 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1355
251.9 IPS |
|
|
Image Classification (HP)
|
100% |
8046
1.50 KIPS |
|
|
Image Classification (Q)
|
96% |
10810
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1305
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12502
202.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
14926
242.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6536
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
87733
102.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
93647
109.8 IPS |
|
|
Object Detection (SP)
|
100% |
1479
117.3 IPS |
|
|
Object Detection (HP)
|
99% |
10329
821.7 IPS |
|
|
Object Detection (Q)
|
91% |
11794
942.4 IPS |
|
|
Face Detection (SP)
|
100% |
2680
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
29435
349.7 IPS |
|
|
Face Detection (Q)
|
100% |
37193
441.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5482
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
55441
427.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
81025
633.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18184
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
165912
213.3 IPS |
|
|
Style Transfer (Q)
|
96% |
165406
213.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4094
151.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28450
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33832
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
2461
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2245
3.00 KIPS |
|
|
Text Classification (Q)
|
93% |
2302
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3517
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6201
106.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6976
120.6 IPS |
