iPhone 15 Pro Max
Geekbench AI Score
3391
Single Precision Score
23334
Half Precision Score
32045
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ebarrera |
| Upload Date | October 01 2025 10:38 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1486
276.4 IPS |
|
|
Image Classification (HP)
|
100% |
8762
1.63 KIPS |
|
|
Image Classification (Q)
|
97% |
11382
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1487
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16507
267.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19716
319.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5949
6.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
98702
115.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
185995
218.0 IPS |
|
|
Object Detection (SP)
|
100% |
1575
124.9 IPS |
|
|
Object Detection (HP)
|
100% |
12105
960.2 IPS |
|
|
Object Detection (Q)
|
91% |
16014
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
2556
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
34159
405.9 IPS |
|
|
Face Detection (Q)
|
100% |
46425
551.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4694
36.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
59924
461.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
99765
780.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19317
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
188060
241.8 IPS |
|
|
Style Transfer (Q)
|
96% |
217576
280.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4172
154.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20945
773.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
44252
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
3212
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5571
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5508
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3130
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6165
106.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6955
120.2 IPS |
