iPhone 15 Pro Max
Geekbench AI Score
5052
Single Precision Score
5898
Half Precision Score
5419
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 16 2025 07:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2099
390.3 IPS |
|
|
Image Classification (HP)
|
100% |
2086
387.9 IPS |
|
|
Image Classification (Q)
|
96% |
1759
328.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3742
60.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4330
70.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4162
67.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13261
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
13840
16.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
11877
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
2457
194.9 IPS |
|
|
Object Detection (HP)
|
100% |
2712
215.1 IPS |
|
|
Object Detection (Q)
|
92% |
2422
193.3 IPS |
|
|
Face Detection (SP)
|
100% |
6186
73.5 IPS |
|
|
Face Detection (HP)
|
100% |
8363
99.4 IPS |
|
|
Face Detection (Q)
|
100% |
6763
80.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10927
84.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11863
91.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
11055
86.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27292
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31723
40.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31218
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5779
213.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6163
227.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5402
199.5 IPS |
|
|
Text Classification (SP)
|
100% |
3251
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5644
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5632
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1223
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1374
23.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1461
25.2 IPS |
