iPhone 15 Pro Max
Geekbench AI Score
3975
Single Precision Score
25256
Half Precision Score
35878
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 30 2025 04:34 PM |
| Views | 1 |
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% |
1686
313.5 IPS |
|
|
Image Classification (HP)
|
100% |
11174
2.08 KIPS |
|
|
Image Classification (Q)
|
97% |
15323
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1601
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15814
256.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21163
343.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8243
9.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
105595
123.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
205709
241.1 IPS |
|
|
Object Detection (SP)
|
100% |
1775
140.8 IPS |
|
|
Object Detection (HP)
|
100% |
13668
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
18994
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3129
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
33531
398.4 IPS |
|
|
Face Detection (Q)
|
100% |
52659
625.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7080
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
77682
598.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
128240
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
21837
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
208609
268.2 IPS |
|
|
Style Transfer (Q)
|
96% |
247006
318.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4985
184.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34828
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58286
2.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3257
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
3344
4.46 KIPS |
|
|
Text Classification (Q)
|
93% |
3564
4.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3181
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6543
112.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8052
139.1 IPS |
