iPhone 13 Pro Max
Geekbench AI Score
3231
Single Precision Score
5732
Half Precision Score
4672
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | bulmasen |
| Upload Date | May 08 2025 11:08 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1310
243.6 IPS |
|
|
Image Classification (HP)
|
100% |
2354
437.8 IPS |
|
|
Image Classification (Q)
|
96% |
1627
303.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1254
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1959
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2412
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6320
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
14193
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12107
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1441
114.3 IPS |
|
|
Object Detection (HP)
|
97% |
2725
217.0 IPS |
|
|
Object Detection (Q)
|
94% |
1941
154.7 IPS |
|
|
Face Detection (SP)
|
100% |
2678
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
5612
66.7 IPS |
|
|
Face Detection (Q)
|
100% |
3196
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5286
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10483
81.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7386
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17420
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28135
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23108
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3817
141.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4738
174.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3642
134.5 IPS |
|
|
Text Classification (SP)
|
100% |
2448
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4340
5.79 KIPS |
|
|
Text Classification (Q)
|
93% |
4219
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3597
62.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6316
109.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6422
111.0 IPS |
