iPhone 15 Pro Max
Geekbench AI Score
3913
Single Precision Score
26936
Half Precision Score
36083
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | crypt3r |
| Upload Date | November 08 2025 11:43 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1566
291.1 IPS |
|
|
Image Classification (HP)
|
100% |
12218
2.27 KIPS |
|
|
Image Classification (Q)
|
97% |
14522
2.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1550
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16389
265.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21551
349.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8407
9.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
106900
124.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
206176
241.7 IPS |
|
|
Object Detection (SP)
|
100% |
1691
134.1 IPS |
|
|
Object Detection (HP)
|
100% |
13952
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
17888
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3117
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
33686
400.3 IPS |
|
|
Face Detection (Q)
|
100% |
50412
599.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7074
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78553
605.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
123091
962.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22327
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
206590
265.6 IPS |
|
|
Style Transfer (Q)
|
96% |
243869
314.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4885
180.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34644
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55126
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3227
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5515
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5500
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3143
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6446
111.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7065
122.1 IPS |
