iPhone 15 Pro Max
Geekbench AI Score
3785
Single Precision Score
6881
Half Precision Score
5661
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 12:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1576
293.2 IPS |
|
|
Image Classification (HP)
|
100% |
2973
552.9 IPS |
|
|
Image Classification (Q)
|
96% |
2017
376.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1582
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2327
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3018
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7472
8.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
16418
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14344
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1635
129.7 IPS |
|
|
Object Detection (HP)
|
97% |
3249
258.6 IPS |
|
|
Object Detection (Q)
|
94% |
2345
186.9 IPS |
|
|
Face Detection (SP)
|
100% |
3048
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
6532
77.6 IPS |
|
|
Face Detection (Q)
|
100% |
3800
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6707
51.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12686
98.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8913
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20843
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33447
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27662
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4621
170.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5732
211.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4380
161.7 IPS |
|
|
Text Classification (SP)
|
100% |
3231
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5611
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5510
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3117
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7240
125.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7302
126.2 IPS |
