iPhone 13 Pro Max
Geekbench AI Score
3228
Single Precision Score
5753
Half Precision Score
4670
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 06 2025 08:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1353
251.7 IPS |
|
|
Image Classification (HP)
|
100% |
2363
439.5 IPS |
|
|
Image Classification (Q)
|
96% |
1622
302.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1274
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2431
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6427
7.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
14763
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12378
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1449
115.0 IPS |
|
|
Object Detection (HP)
|
97% |
2734
217.6 IPS |
|
|
Object Detection (Q)
|
94% |
1931
153.9 IPS |
|
|
Face Detection (SP)
|
100% |
2416
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
5587
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
3202
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5328
41.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10450
80.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7353
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17521
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27962
35.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22823
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3853
142.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4840
178.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3655
135.0 IPS |
|
|
Text Classification (SP)
|
100% |
2453
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4222
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4208
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3595
61.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6368
110.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6341
109.6 IPS |
