iPhone 15 Pro Max
Geekbench AI Score
3671
Single Precision Score
6820
Half Precision Score
5545
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 14 2025 05:09 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1552
288.6 IPS |
|
|
Image Classification (HP)
|
100% |
2969
552.2 IPS |
|
|
Image Classification (Q)
|
96% |
2036
380.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1518
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3003
48.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7072
8.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
15723
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13489
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1624
128.8 IPS |
|
|
Object Detection (HP)
|
97% |
3244
258.3 IPS |
|
|
Object Detection (Q)
|
94% |
2320
184.9 IPS |
|
|
Face Detection (SP)
|
100% |
2971
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
6635
78.8 IPS |
|
|
Face Detection (Q)
|
100% |
3700
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6501
50.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12423
96.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8726
68.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19464
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32180
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26183
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4356
160.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5760
212.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4345
160.5 IPS |
|
|
Text Classification (SP)
|
100% |
3184
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5673
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5687
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3152
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7099
122.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6885
119.0 IPS |
