iPhone 13 Pro Max
Geekbench AI Score
3960
Single Precision Score
4463
Half Precision Score
4216
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | June 06 2025 03:48 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1533
285.0 IPS |
|
|
Image Classification (HP)
|
100% |
1268
235.8 IPS |
|
|
Image Classification (Q)
|
96% |
1662
310.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2818
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2940
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2804
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11421
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12526
14.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
12187
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1985
157.5 IPS |
|
|
Object Detection (HP)
|
100% |
2069
164.1 IPS |
|
|
Object Detection (Q)
|
92% |
1845
147.3 IPS |
|
|
Face Detection (SP)
|
100% |
4859
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
6141
73.0 IPS |
|
|
Face Detection (Q)
|
100% |
4812
57.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8561
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9207
70.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8497
66.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19049
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23752
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22610
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4999
184.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5046
186.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4541
167.7 IPS |
|
|
Text Classification (SP)
|
100% |
2449
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4327
5.77 KIPS |
|
|
Text Classification (Q)
|
93% |
4277
5.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1000
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1107
19.1 IPS |
|
|
Machine Translation (Q)
|
98% |
945
16.3 IPS |
