iPhone 13 Pro Max
Geekbench AI Score
3282
Single Precision Score
5716
Half Precision Score
4634
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 17 2025 05:14 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1358
252.5 IPS |
|
|
Image Classification (HP)
|
100% |
2358
438.5 IPS |
|
|
Image Classification (Q)
|
96% |
1631
304.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2012
32.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2492
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6646
7.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
14344
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12084
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1482
117.6 IPS |
|
|
Object Detection (HP)
|
97% |
2752
219.1 IPS |
|
|
Object Detection (Q)
|
94% |
1946
155.1 IPS |
|
|
Face Detection (SP)
|
100% |
2650
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
5768
68.5 IPS |
|
|
Face Detection (Q)
|
100% |
3271
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5454
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11201
86.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7655
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17896
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27034
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22534
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3949
145.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4628
170.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3480
128.5 IPS |
|
|
Text Classification (SP)
|
100% |
2410
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4187
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4158
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3420
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5879
101.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5856
101.2 IPS |
