iPhone 13 Pro Max
Geekbench AI Score
3972
Single Precision Score
4466
Half Precision Score
4201
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 16 2025 11:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1659
308.5 IPS |
|
|
Image Classification (HP)
|
100% |
1483
275.7 IPS |
|
|
Image Classification (Q)
|
96% |
1592
297.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2778
45.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2875
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2737
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11233
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12651
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12306
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1986
157.5 IPS |
|
|
Object Detection (HP)
|
100% |
2012
159.6 IPS |
|
|
Object Detection (Q)
|
92% |
1816
145.0 IPS |
|
|
Face Detection (SP)
|
100% |
4872
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
6240
74.1 IPS |
|
|
Face Detection (Q)
|
100% |
4946
58.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8489
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9173
70.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8431
65.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18869
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23747
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22949
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4881
180.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5004
184.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4396
162.3 IPS |
|
|
Text Classification (SP)
|
100% |
2440
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4245
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4270
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1023
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
980
16.9 IPS |
