iPhone 15 Pro Max
Geekbench AI Score
3976
Single Precision Score
6940
Half Precision Score
5726
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 04 2025 12:01 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% |
1653
307.4 IPS |
|
|
Image Classification (HP)
|
100% |
2956
549.8 IPS |
|
|
Image Classification (Q)
|
96% |
2036
380.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1592
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2332
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3036
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8507
9.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
17087
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14781
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1763
139.8 IPS |
|
|
Object Detection (HP)
|
97% |
3278
260.9 IPS |
|
|
Object Detection (Q)
|
94% |
2368
188.7 IPS |
|
|
Face Detection (SP)
|
100% |
3172
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6745
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
3847
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7062
54.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12705
98.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9002
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21942
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34298
44.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28393
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4892
180.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5633
208.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4407
162.7 IPS |
|
|
Text Classification (SP)
|
100% |
3294
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5602
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5555
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3161
54.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7242
125.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7276
125.7 IPS |
