iPhone 13 Pro Max
Geekbench AI Score
4027
Single Precision Score
4509
Half Precision Score
4274
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Ryan900 |
| Upload Date | September 17 2025 10:25 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1706
317.3 IPS |
|
|
Image Classification (HP)
|
100% |
1655
307.9 IPS |
|
|
Image Classification (Q)
|
96% |
1685
314.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2828
45.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2890
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2781
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11192
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12773
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12372
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1928
152.9 IPS |
|
|
Object Detection (HP)
|
100% |
2013
159.6 IPS |
|
|
Object Detection (Q)
|
92% |
1831
146.2 IPS |
|
|
Face Detection (SP)
|
100% |
4857
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
6037
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
4940
58.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8537
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9192
70.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8491
66.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18776
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23542
30.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23058
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4984
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5153
190.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4532
167.4 IPS |
|
|
Text Classification (SP)
|
100% |
2584
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4077
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4065
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1076
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1030
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1076
18.6 IPS |
