iPhone 15 Pro Max
Geekbench AI Score
3691
Single Precision Score
6789
Half Precision Score
5515
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 12:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1530
284.5 IPS |
|
|
Image Classification (HP)
|
100% |
2952
549.0 IPS |
|
|
Image Classification (Q)
|
96% |
2036
380.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1550
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2936
47.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7021
8.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
15316
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13125
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1694
134.4 IPS |
|
|
Object Detection (HP)
|
97% |
3224
256.7 IPS |
|
|
Object Detection (Q)
|
94% |
2314
184.5 IPS |
|
|
Face Detection (SP)
|
100% |
2996
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
6522
77.5 IPS |
|
|
Face Detection (Q)
|
100% |
3678
43.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6567
50.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12388
95.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8580
67.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19601
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32816
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26903
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4524
167.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5768
213.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4333
160.0 IPS |
|
|
Text Classification (SP)
|
100% |
3100
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
5720
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5646
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3079
53.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7038
121.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6913
119.5 IPS |
