iPhone 15 Pro Max
Geekbench AI Score
3711
Single Precision Score
6810
Half Precision Score
5553
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 20 2025 01:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1573
292.5 IPS |
|
|
Image Classification (HP)
|
100% |
2958
550.1 IPS |
|
|
Image Classification (Q)
|
96% |
2038
380.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1542
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2341
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3003
48.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7429
8.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
16008
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13830
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1627
129.0 IPS |
|
|
Object Detection (HP)
|
97% |
3227
256.9 IPS |
|
|
Object Detection (Q)
|
94% |
2317
184.6 IPS |
|
|
Face Detection (SP)
|
100% |
2974
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
6574
78.1 IPS |
|
|
Face Detection (Q)
|
100% |
3718
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6535
50.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12518
96.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8494
66.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19953
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32077
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26612
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4336
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5704
210.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4324
159.7 IPS |
|
|
Text Classification (SP)
|
100% |
3226
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5595
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5533
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3115
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7126
123.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7076
122.3 IPS |
