iPhone 15 Pro Max
Geekbench AI Score
4936
Single Precision Score
5914
Half Precision Score
5351
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 12:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2237
416.0 IPS |
|
|
Image Classification (HP)
|
100% |
2383
443.1 IPS |
|
|
Image Classification (Q)
|
97% |
2354
439.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2733
44.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3717
60.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3733
60.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13185
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14072
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13268
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
2506
198.8 IPS |
|
|
Object Detection (HP)
|
100% |
2806
222.5 IPS |
|
|
Object Detection (Q)
|
91% |
2357
188.3 IPS |
|
|
Face Detection (SP)
|
100% |
6101
72.5 IPS |
|
|
Face Detection (HP)
|
100% |
8437
100.2 IPS |
|
|
Face Detection (Q)
|
100% |
5911
70.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10885
83.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11987
92.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
10292
80.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27043
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32508
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30567
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5975
220.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6277
231.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5069
187.2 IPS |
|
|
Text Classification (SP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5521
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5478
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1243
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1358
23.5 IPS |
