iPhone 15 Pro Max
Geekbench AI Score
3802
Single Precision Score
6673
Half Precision Score
5441
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 07:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1671
310.7 IPS |
|
|
Image Classification (HP)
|
100% |
2925
544.0 IPS |
|
|
Image Classification (Q)
|
96% |
2008
374.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1589
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2370
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3025
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7371
8.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
15054
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13278
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1720
136.4 IPS |
|
|
Object Detection (HP)
|
97% |
3317
264.1 IPS |
|
|
Object Detection (Q)
|
94% |
2302
183.5 IPS |
|
|
Face Detection (SP)
|
100% |
3085
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6620
78.7 IPS |
|
|
Face Detection (Q)
|
100% |
3754
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6684
51.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13045
100.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8878
69.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19966
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31086
40.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26134
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4606
170.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5696
210.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4275
157.8 IPS |
|
|
Text Classification (SP)
|
100% |
3189
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5486
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5456
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3103
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6038
104.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6029
104.2 IPS |
