iPhone 15 Pro Max
Geekbench AI Score
3278
Single Precision Score
5901
Half Precision Score
5078
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 10:40 AM |
| Views | 4 |
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% |
1559
289.9 IPS |
|
|
Image Classification (HP)
|
100% |
2944
547.6 IPS |
|
|
Image Classification (Q)
|
96% |
2021
377.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2325
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2990
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7101
8.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
15844
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13680
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1628
129.1 IPS |
|
|
Object Detection (HP)
|
97% |
3226
256.8 IPS |
|
|
Object Detection (Q)
|
94% |
2348
187.2 IPS |
|
|
Face Detection (SP)
|
100% |
3053
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
6606
78.5 IPS |
|
|
Face Detection (Q)
|
100% |
3729
44.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6677
51.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12542
97.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8873
69.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20055
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28781
37.0 IPS |
|
|
Style Transfer (Q)
|
96% |
24946
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3274
120.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5285
195.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4060
149.9 IPS |
|
|
Text Classification (SP)
|
100% |
1962
2.62 KIPS |
|
|
Text Classification (HP)
|
99% |
3588
4.79 KIPS |
|
|
Text Classification (Q)
|
93% |
2987
4.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1985
34.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3240
56.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5868
101.4 IPS |
