iPhone 15 Pro Max
Geekbench AI Score
3639
Single Precision Score
6821
Half Precision Score
5557
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 13 2025 07:31 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1491
277.3 IPS |
|
|
Image Classification (HP)
|
100% |
2956
549.7 IPS |
|
|
Image Classification (Q)
|
96% |
2038
380.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1531
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2462
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2997
48.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6910
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
15277
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13431
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1538
122.0 IPS |
|
|
Object Detection (HP)
|
97% |
3218
256.2 IPS |
|
|
Object Detection (Q)
|
94% |
2323
185.1 IPS |
|
|
Face Detection (SP)
|
100% |
2967
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
6537
77.7 IPS |
|
|
Face Detection (Q)
|
100% |
3726
44.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6414
49.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12560
97.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8699
68.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19821
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32112
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26342
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4406
162.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5737
211.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4330
159.9 IPS |
|
|
Text Classification (SP)
|
100% |
3215
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5652
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5555
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3146
54.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7135
123.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7183
124.1 IPS |
