iPhone 15 Pro Max
Geekbench AI Score
3906
Single Precision Score
25508
Half Precision Score
35318
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 11 2025 09:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1662
309.1 IPS |
|
|
Image Classification (HP)
|
100% |
11087
2.06 KIPS |
|
|
Image Classification (Q)
|
97% |
14959
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16631
269.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
21146
342.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7720
9.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
104221
121.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
206451
242.0 IPS |
|
|
Object Detection (SP)
|
100% |
1765
140.0 IPS |
|
|
Object Detection (HP)
|
100% |
14057
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
19254
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3120
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
33734
400.8 IPS |
|
|
Face Detection (Q)
|
100% |
53142
631.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6946
53.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78525
605.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
128000
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
21292
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
208826
268.4 IPS |
|
|
Style Transfer (Q)
|
96% |
250474
323.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4767
176.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33592
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
64696
2.39 KIPS |
|
|
Text Classification (SP)
|
100% |
3301
4.41 KIPS |
|
|
Text Classification (HP)
|
100% |
3456
4.61 KIPS |
|
|
Text Classification (Q)
|
93% |
2848
3.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3157
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6723
115.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7651
132.2 IPS |
