iPhone 15 Pro Max
Geekbench AI Score
3941
Single Precision Score
25252
Half Precision Score
35599
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 15 2025 04:45 AM |
| Views | 2 |
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% |
1703
316.7 IPS |
|
|
Image Classification (HP)
|
100% |
10904
2.03 KIPS |
|
|
Image Classification (Q)
|
97% |
16027
2.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1592
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16047
260.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
21264
344.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7866
9.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
104221
121.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
206561
242.1 IPS |
|
|
Object Detection (SP)
|
100% |
1781
141.2 IPS |
|
|
Object Detection (HP)
|
100% |
13889
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18738
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3147
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
33797
401.6 IPS |
|
|
Face Detection (Q)
|
100% |
53004
629.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6945
53.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78819
607.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
127683
998.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21257
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
204338
262.7 IPS |
|
|
Style Transfer (Q)
|
96% |
255097
329.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4941
182.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34619
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55886
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3368
4.50 KIPS |
|
|
Text Classification (Q)
|
93% |
3517
4.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3200
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6561
113.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7304
126.2 IPS |
