iPhone 15 Pro Max
Geekbench AI Score
4972
Single Precision Score
5902
Half Precision Score
5535
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 03:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2093
389.3 IPS |
|
|
Image Classification (HP)
|
100% |
1905
354.3 IPS |
|
|
Image Classification (Q)
|
96% |
1637
305.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3782
61.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4227
68.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4073
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13250
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15171
17.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
14616
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2342
185.8 IPS |
|
|
Object Detection (HP)
|
100% |
2691
213.5 IPS |
|
|
Object Detection (Q)
|
92% |
2570
205.1 IPS |
|
|
Face Detection (SP)
|
100% |
6254
74.3 IPS |
|
|
Face Detection (HP)
|
100% |
8829
104.9 IPS |
|
|
Face Detection (Q)
|
100% |
6843
81.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10951
84.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12358
95.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
11469
89.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27678
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32186
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32914
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5434
200.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5890
217.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5567
205.6 IPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5158
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5070
6.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1247
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1463
25.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1479
25.6 IPS |
