iPhone 15 Pro Max
Geekbench AI Score
3576
Single Precision Score
26674
Half Precision Score
36657
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 29 2025 07:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1557
289.5 IPS |
|
|
Image Classification (HP)
|
100% |
11429
2.13 KIPS |
|
|
Image Classification (Q)
|
97% |
15251
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16230
263.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
21170
343.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6808
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
98636
115.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
190277
223.0 IPS |
|
|
Object Detection (SP)
|
100% |
1666
132.1 IPS |
|
|
Object Detection (HP)
|
100% |
13399
1.06 KIPS |
|
|
Object Detection (Q)
|
91% |
17433
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
2774
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
33776
401.3 IPS |
|
|
Face Detection (Q)
|
100% |
51187
608.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5973
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
76845
592.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
121186
947.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19127
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
200831
258.2 IPS |
|
|
Style Transfer (Q)
|
96% |
248492
320.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4278
158.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33326
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55176
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3093
4.13 KIPS |
|
|
Text Classification (HP)
|
99% |
5298
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5201
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3034
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8083
139.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9250
159.9 IPS |
