iPhone 15 Pro Max
Geekbench AI Score
3725
Single Precision Score
6643
Half Precision Score
5556
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 06:54 PM |
| Views | 2 |
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% |
1563
290.6 IPS |
|
|
Image Classification (HP)
|
100% |
2977
553.7 IPS |
|
|
Image Classification (Q)
|
96% |
2036
380.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1576
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2198
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2882
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7098
8.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
15677
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13650
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1616
128.2 IPS |
|
|
Object Detection (HP)
|
97% |
3147
250.5 IPS |
|
|
Object Detection (Q)
|
94% |
2321
185.0 IPS |
|
|
Face Detection (SP)
|
100% |
2924
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
5769
68.6 IPS |
|
|
Face Detection (Q)
|
100% |
3704
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6624
51.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12594
97.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8905
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20323
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32869
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27152
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4553
168.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5629
207.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4355
160.8 IPS |
|
|
Text Classification (SP)
|
100% |
3256
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5379
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5460
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3128
53.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7173
123.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7084
122.4 IPS |
