iPhone 13 Pro Max
Geekbench AI Score
3541
Single Precision Score
3556
Half Precision Score
3842
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 10 2025 06:51 PM |
| Views | 4 |
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% |
1651
306.9 IPS |
|
|
Image Classification (HP)
|
100% |
1089
202.6 IPS |
|
|
Image Classification (Q)
|
96% |
1318
246.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2767
44.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2735
44.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2623
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9403
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
8107
9.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
10330
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
100% |
1613
128.0 IPS |
|
|
Object Detection (Q)
|
92% |
1628
130.0 IPS |
|
|
Face Detection (SP)
|
100% |
4265
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
4809
57.1 IPS |
|
|
Face Detection (Q)
|
100% |
4377
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7746
59.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7311
56.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
8475
66.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16654
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12005
15.4 IPS |
|
|
Style Transfer (Q)
|
96% |
18598
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3515
129.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3728
137.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4303
158.9 IPS |
|
|
Text Classification (SP)
|
100% |
2467
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4049
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4117
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1008
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1306
22.5 IPS |
|
|
Machine Translation (Q)
|
98% |
987
17.1 IPS |
