iPhone 15 Pro Max
Geekbench AI Score
3614
Single Precision Score
6731
Half Precision Score
5510
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dionatanfelipe |
| Upload Date | October 25 2025 03:12 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1547
287.7 IPS |
|
|
Image Classification (HP)
|
100% |
2970
552.3 IPS |
|
|
Image Classification (Q)
|
96% |
2033
379.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1532
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2311
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2936
47.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7024
8.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
15476
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13454
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1431
113.5 IPS |
|
|
Object Detection (HP)
|
97% |
3147
250.6 IPS |
|
|
Object Detection (Q)
|
94% |
2270
181.0 IPS |
|
|
Face Detection (SP)
|
100% |
2929
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
6463
76.8 IPS |
|
|
Face Detection (Q)
|
100% |
3644
43.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6460
49.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12310
95.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8742
68.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19515
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31863
41.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26380
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4371
161.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5692
210.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4326
159.7 IPS |
|
|
Text Classification (SP)
|
100% |
3225
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5645
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5557
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3067
52.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7014
121.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7012
121.2 IPS |
