iPhone 15 Pro Max
Geekbench AI Score
3913
Single Precision Score
25129
Half Precision Score
34974
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | cesarjmoreno |
| Upload Date | June 12 2025 11:02 PM |
| Views | 5 |
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% |
1683
313.0 IPS |
|
|
Image Classification (HP)
|
100% |
11058
2.06 KIPS |
|
|
Image Classification (Q)
|
97% |
14672
2.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1606
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16492
267.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21272
344.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8220
9.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
108500
126.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
206651
242.2 IPS |
|
|
Object Detection (SP)
|
100% |
1773
140.7 IPS |
|
|
Object Detection (HP)
|
100% |
13823
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18982
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3135
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
36274
431.0 IPS |
|
|
Face Detection (Q)
|
100% |
54172
643.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6563
50.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78070
601.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
127299
995.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21096
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
203260
261.3 IPS |
|
|
Style Transfer (Q)
|
96% |
247372
319.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4850
179.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34256
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53815
1.99 KIPS |
|
|
Text Classification (SP)
|
100% |
3230
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
2908
3.88 KIPS |
|
|
Text Classification (Q)
|
93% |
3228
4.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3148
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6404
110.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7548
130.4 IPS |
