iPhone 15 Pro Max
Geekbench AI Score
3980
Single Precision Score
28621
Half Precision Score
39180
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | schoolveer |
| Upload Date | April 03 2026 10:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1602
297.9 IPS |
|
|
Image Classification (HP)
|
100% |
11398
2.12 KIPS |
|
|
Image Classification (Q)
|
97% |
15345
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1553
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16501
267.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21955
355.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7331
8.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
107034
124.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
204440
239.6 IPS |
|
|
Object Detection (SP)
|
100% |
1697
134.6 IPS |
|
|
Object Detection (HP)
|
100% |
13909
1.10 KIPS |
|
|
Object Detection (Q)
|
89% |
19399
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
3064
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
35862
426.1 IPS |
|
|
Face Detection (Q)
|
100% |
55613
660.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6740
51.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78435
604.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
127248
994.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19138
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
205931
264.7 IPS |
|
|
Style Transfer (Q)
|
96% |
247462
319.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4582
169.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34505
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54563
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
5716
7.63 KIPS |
|
|
Text Classification (HP)
|
100% |
9831
13.1 KIPS |
|
|
Text Classification (Q)
|
93% |
9137
12.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
3114
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6705
115.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7308
126.3 IPS |
