iPhone 15 Pro Max
Geekbench AI Score
3714
Single Precision Score
6781
Half Precision Score
5596
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 26 2025 07:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1570
292.0 IPS |
|
|
Image Classification (HP)
|
100% |
2916
542.4 IPS |
|
|
Image Classification (Q)
|
96% |
2024
378.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1517
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2319
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2994
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7225
8.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
15848
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13832
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1639
130.0 IPS |
|
|
Object Detection (HP)
|
97% |
3253
259.0 IPS |
|
|
Object Detection (Q)
|
94% |
2339
186.4 IPS |
|
|
Face Detection (SP)
|
100% |
3016
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
6573
78.1 IPS |
|
|
Face Detection (Q)
|
100% |
3749
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6592
50.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12550
97.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8828
69.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20169
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32454
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26802
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4475
165.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5645
208.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4428
163.5 IPS |
|
|
Text Classification (SP)
|
100% |
3175
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5449
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5394
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3108
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7168
123.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7256
125.4 IPS |
