iPhone 15 Pro Max
Geekbench AI Score
3884
Single Precision Score
25133
Half Precision Score
35315
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 28 2025 07:50 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1659
308.4 IPS |
|
|
Image Classification (HP)
|
100% |
10708
1.99 KIPS |
|
|
Image Classification (Q)
|
97% |
15621
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1613
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16285
264.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21058
341.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7949
9.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
105150
122.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
205800
241.2 IPS |
|
|
Object Detection (SP)
|
100% |
1757
139.4 IPS |
|
|
Object Detection (HP)
|
100% |
13691
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
19159
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3064
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
35429
421.0 IPS |
|
|
Face Detection (Q)
|
100% |
52637
625.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6779
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78407
604.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
127614
997.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20838
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
204822
263.3 IPS |
|
|
Style Transfer (Q)
|
96% |
258242
333.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4741
175.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33371
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58725
2.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3241
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3292
4.39 KIPS |
|
|
Text Classification (Q)
|
93% |
3123
4.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3147
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6410
110.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7313
126.4 IPS |
