iPhone 13 Pro Max
Geekbench AI Score
3913
Single Precision Score
4458
Half Precision Score
4190
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | EPMandBI |
| Upload Date | September 24 2025 09:15 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| 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% |
1396
259.6 IPS |
|
|
Image Classification (HP)
|
100% |
1496
278.2 IPS |
|
|
Image Classification (Q)
|
96% |
1566
292.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2783
45.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2890
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2768
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11234
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12644
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12294
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
2006
159.2 IPS |
|
|
Object Detection (HP)
|
100% |
1992
158.0 IPS |
|
|
Object Detection (Q)
|
92% |
1826
145.7 IPS |
|
|
Face Detection (SP)
|
100% |
4941
58.7 IPS |
|
|
Face Detection (HP)
|
100% |
6198
73.6 IPS |
|
|
Face Detection (Q)
|
100% |
4890
58.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8475
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9238
71.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
8460
66.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18845
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23550
30.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22883
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4869
179.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5019
185.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4414
163.0 IPS |
|
|
Text Classification (SP)
|
100% |
2483
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
4233
5.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4202
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
996
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
978
16.9 IPS |
