iPhone 15 Pro Max
Geekbench AI Score
3443
Single Precision Score
6462
Half Precision Score
5330
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | RAalharbi_ |
| Upload Date | April 22 2026 04:29 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
1485
276.2 IPS |
|
|
Image Classification (HP)
|
100% |
2964
551.1 IPS |
|
|
Image Classification (Q)
|
96% |
2026
378.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1480
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2294
37.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2872
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6277
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
13782
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12422
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1512
119.9 IPS |
|
|
Object Detection (HP)
|
97% |
3158
251.4 IPS |
|
|
Object Detection (Q)
|
94% |
2218
176.8 IPS |
|
|
Face Detection (SP)
|
100% |
2789
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
6031
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3520
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5972
46.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11917
92.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8359
65.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17365
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28727
36.9 IPS |
|
|
Style Transfer (Q)
|
96% |
24718
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3921
144.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5417
200.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4081
150.7 IPS |
|
|
Text Classification (SP)
|
100% |
3247
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5590
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5527
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3056
52.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6865
118.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7047
121.8 IPS |
