iPhone 15 Pro Max
Geekbench AI Score
3618
Single Precision Score
26597
Half Precision Score
36485
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | crypt3r |
| Upload Date | September 22 2025 02:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1561
290.2 IPS |
|
|
Image Classification (HP)
|
100% |
10834
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
15679
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1527
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16441
266.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21219
344.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6446
7.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
99120
115.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
198598
232.8 IPS |
|
|
Object Detection (SP)
|
100% |
1596
126.6 IPS |
|
|
Object Detection (HP)
|
100% |
13861
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18505
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
2881
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
36635
435.3 IPS |
|
|
Face Detection (Q)
|
100% |
50965
605.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6365
49.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
77926
600.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
124260
971.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19441
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
203238
261.3 IPS |
|
|
Style Transfer (Q)
|
96% |
250233
322.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4314
159.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34422
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55126
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3246
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5648
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5592
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3144
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6418
110.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6998
120.9 IPS |
