iPhone 15 Pro Max
Geekbench AI Score
3639
Single Precision Score
6702
Half Precision Score
5415
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 11:50 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% |
1383
257.2 IPS |
|
|
Image Classification (HP)
|
100% |
2742
509.9 IPS |
|
|
Image Classification (Q)
|
96% |
1888
352.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1445
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2649
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6382
7.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
13754
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12909
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1642
130.2 IPS |
|
|
Object Detection (HP)
|
97% |
3214
255.9 IPS |
|
|
Object Detection (Q)
|
94% |
2313
184.3 IPS |
|
|
Face Detection (SP)
|
100% |
3059
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6684
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
3758
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6744
52.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12557
97.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8935
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20601
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33210
42.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26676
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4422
163.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6003
221.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4103
151.5 IPS |
|
|
Text Classification (SP)
|
100% |
3317
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5756
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5515
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3124
53.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7216
124.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7166
123.8 IPS |
