iPhone 15 Pro Max
Geekbench AI Score
3936
Single Precision Score
20475
Half Precision Score
26248
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | August 29 2024 05:25 PM |
| Views | 18 |
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% |
1705
317.2 IPS |
|
|
Image Classification (HP)
|
100% |
10838
2.02 KIPS |
|
|
Image Classification (Q)
|
99% |
12710
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1614
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10962
177.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
10742
174.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8008
9.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
101694
118.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
198214
232.5 IPS |
|
|
Object Detection (SP)
|
100% |
1784
141.5 IPS |
|
|
Object Detection (HP)
|
100% |
12934
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
18719
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3194
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
21800
259.0 IPS |
|
|
Face Detection (Q)
|
100% |
36789
437.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7083
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
63650
490.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
74123
573.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20769
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
137641
176.9 IPS |
|
|
Style Transfer (Q)
|
100% |
138388
177.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4866
179.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33942
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
54580
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3180
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2041
2.72 KIPS |
|
|
Text Classification (Q)
|
93% |
2022
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3124
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6264
107.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7360
127.2 IPS |
