iPhone 13 Pro Max
Geekbench AI Score
3972
Single Precision Score
4325
Half Precision Score
4166
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | June 17 2025 02:43 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1695
315.1 IPS |
|
|
Image Classification (HP)
|
100% |
1214
225.8 IPS |
|
|
Image Classification (Q)
|
96% |
1620
302.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2818
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2854
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2770
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11252
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12685
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12328
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1945
154.3 IPS |
|
|
Object Detection (HP)
|
100% |
1920
152.3 IPS |
|
|
Object Detection (Q)
|
92% |
1846
147.4 IPS |
|
|
Face Detection (SP)
|
100% |
4926
58.5 IPS |
|
|
Face Detection (HP)
|
100% |
6183
73.5 IPS |
|
|
Face Detection (Q)
|
100% |
4833
57.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8590
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9170
70.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8474
66.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18852
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23707
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22919
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4853
179.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5129
189.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4444
164.1 IPS |
|
|
Text Classification (SP)
|
100% |
2461
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4002
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3968
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
984
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
932
16.1 IPS |
