iPhone 15 Pro Max
Geekbench AI Score
3810
Single Precision Score
24929
Half Precision Score
34854
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mcx |
| Upload Date | December 03 2024 07:07 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1630
303.2 IPS |
|
|
Image Classification (HP)
|
100% |
11469
2.13 KIPS |
|
|
Image Classification (Q)
|
97% |
15698
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1575
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15766
255.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
20825
337.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7414
8.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
101723
118.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
203292
238.3 IPS |
|
|
Object Detection (SP)
|
100% |
1730
137.2 IPS |
|
|
Object Detection (HP)
|
100% |
14164
1.12 KIPS |
|
|
Object Detection (Q)
|
91% |
19127
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3111
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
34828
413.8 IPS |
|
|
Face Detection (Q)
|
100% |
50659
601.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6883
53.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78782
607.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
130052
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
19961
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
201060
258.5 IPS |
|
|
Style Transfer (Q)
|
96% |
250452
323.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4661
172.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34198
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58925
2.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3177
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
3078
4.11 KIPS |
|
|
Text Classification (Q)
|
93% |
2875
3.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3095
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6128
105.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7446
128.7 IPS |
