iPhone 15 Pro Max
Geekbench AI Score
3580
Single Precision Score
6610
Half Precision Score
5367
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 05:25 AM |
| Views | 1 |
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% |
1498
278.6 IPS |
|
|
Image Classification (HP)
|
100% |
2953
549.3 IPS |
|
|
Image Classification (Q)
|
96% |
2015
376.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1521
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2284
37.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2930
47.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6516
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
14653
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12341
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1575
124.9 IPS |
|
|
Object Detection (HP)
|
97% |
3231
257.2 IPS |
|
|
Object Detection (Q)
|
94% |
2069
164.9 IPS |
|
|
Face Detection (SP)
|
100% |
2940
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
6413
76.2 IPS |
|
|
Face Detection (Q)
|
100% |
3613
42.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6317
48.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12421
96.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8528
66.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19240
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27741
35.7 IPS |
|
|
Style Transfer (Q)
|
96% |
25424
32.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4272
157.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5733
211.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4273
157.8 IPS |
|
|
Text Classification (SP)
|
100% |
3216
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5644
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5641
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3019
52.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6981
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6972
120.5 IPS |
