iPhone 15 Pro Max
Geekbench AI Score
3693
Single Precision Score
6861
Half Precision Score
5636
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Stefcolosi |
| Upload Date | February 20 2026 03:06 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1559
290.0 IPS |
|
|
Image Classification (HP)
|
100% |
2960
550.4 IPS |
|
|
Image Classification (Q)
|
96% |
2052
383.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1520
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3010
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7015
8.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
15579
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13941
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1621
128.6 IPS |
|
|
Object Detection (HP)
|
97% |
3247
258.5 IPS |
|
|
Object Detection (Q)
|
94% |
2344
186.9 IPS |
|
|
Face Detection (SP)
|
100% |
3010
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
6675
79.3 IPS |
|
|
Face Detection (Q)
|
100% |
3790
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6645
51.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12568
97.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8758
68.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19644
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32120
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27318
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4302
158.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5834
215.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4299
158.7 IPS |
|
|
Text Classification (SP)
|
100% |
3324
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5786
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5598
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3117
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7269
125.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7354
127.1 IPS |
