iPhone 15 Pro Max
Geekbench AI Score
4688
Single Precision Score
5211
Half Precision Score
5256
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | July 01 2025 06:33 AM |
| Views | 3 |
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% |
1907
354.6 IPS |
|
|
Image Classification (HP)
|
100% |
1688
314.0 IPS |
|
|
Image Classification (Q)
|
96% |
1937
361.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3686
59.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4111
66.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3957
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10219
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12704
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11615
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
2341
185.7 IPS |
|
|
Object Detection (HP)
|
100% |
2526
200.4 IPS |
|
|
Object Detection (Q)
|
92% |
2575
205.5 IPS |
|
|
Face Detection (SP)
|
100% |
6130
72.8 IPS |
|
|
Face Detection (HP)
|
100% |
8024
95.3 IPS |
|
|
Face Detection (Q)
|
100% |
6821
81.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10667
82.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9360
72.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10769
84.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22953
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24223
31.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24837
32.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5234
193.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5947
219.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5275
194.8 IPS |
|
|
Text Classification (SP)
|
100% |
3085
4.12 KIPS |
|
|
Text Classification (HP)
|
99% |
4305
5.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5086
6.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1259
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1424
24.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1435
24.8 IPS |
