iPhone 13 Pro Max
Geekbench AI Score
3262
Single Precision Score
5748
Half Precision Score
4655
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 29 2025 05:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1357
252.3 IPS |
|
|
Image Classification (HP)
|
100% |
2378
442.2 IPS |
|
|
Image Classification (Q)
|
96% |
1629
304.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1269
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1969
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2428
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6506
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
14547
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12164
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1418
112.4 IPS |
|
|
Object Detection (HP)
|
97% |
2733
217.6 IPS |
|
|
Object Detection (Q)
|
94% |
1945
155.0 IPS |
|
|
Face Detection (SP)
|
100% |
2653
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
5578
66.3 IPS |
|
|
Face Detection (Q)
|
100% |
3179
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5429
41.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10383
80.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7396
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17398
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27917
35.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22598
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3864
142.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4788
176.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3644
134.6 IPS |
|
|
Text Classification (SP)
|
100% |
2497
3.33 KIPS |
|
|
Text Classification (HP)
|
100% |
4297
5.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4258
5.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3561
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6363
109.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6206
107.3 IPS |
