iPhone 15 Pro Max
Geekbench AI Score
4005
Single Precision Score
22158
Half Precision Score
30864
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | rafaexnexus |
| Upload Date | September 10 2024 02:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1716
319.2 IPS |
|
|
Image Classification (HP)
|
100% |
10767
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
15028
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1621
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13006
210.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
15999
259.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8309
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
106304
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
204653
239.9 IPS |
|
|
Object Detection (SP)
|
100% |
1822
144.5 IPS |
|
|
Object Detection (HP)
|
100% |
13573
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
19169
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3205
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
33184
394.3 IPS |
|
|
Face Detection (Q)
|
100% |
49009
582.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7247
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
78386
603.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
128058
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
21490
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
137921
177.3 IPS |
|
|
Style Transfer (Q)
|
96% |
164772
212.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5093
188.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34235
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56085
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3187
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
1896
2.53 KIPS |
|
|
Text Classification (Q)
|
93% |
1983
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3117
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6065
104.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7232
125.0 IPS |
