iPhone 15 Pro Max
Geekbench AI Score
2812
Single Precision Score
13891
Half Precision Score
17775
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 02:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1441
268.0 IPS |
|
|
Image Classification (HP)
|
100% |
6170
1.15 KIPS |
|
|
Image Classification (Q)
|
97% |
7430
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
820
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5226
84.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9945
161.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7935
9.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
86922
101.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
151137
177.1 IPS |
|
|
Object Detection (SP)
|
100% |
1523
120.8 IPS |
|
|
Object Detection (HP)
|
100% |
8191
649.7 IPS |
|
|
Object Detection (Q)
|
93% |
9979
796.2 IPS |
|
|
Face Detection (SP)
|
100% |
2339
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
11142
132.4 IPS |
|
|
Face Detection (Q)
|
100% |
13265
157.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4849
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
42922
330.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
58610
458.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13016
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
127857
164.4 IPS |
|
|
Style Transfer (Q)
|
96% |
137397
177.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4127
152.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18181
671.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25780
951.9 IPS |
|
|
Text Classification (SP)
|
100% |
1838
2.45 KIPS |
|
|
Text Classification (HP)
|
71% |
4020
5.78 KIPS |
|
|
Text Classification (Q)
|
69% |
3967
5.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1938
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2609
44.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2587
44.7 IPS |
