iPhone 15 Pro Max
Geekbench AI Score
3891
Single Precision Score
23989
Half Precision Score
32909
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | rafaexnexus |
| Upload Date | September 25 2024 09:08 AM |
| Views | 5 |
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% |
1637
304.5 IPS |
|
|
Image Classification (HP)
|
100% |
10420
1.94 KIPS |
|
|
Image Classification (Q)
|
97% |
14428
2.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1604
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15366
249.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
20437
331.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7959
9.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
106344
124.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
201134
235.7 IPS |
|
|
Object Detection (SP)
|
100% |
1777
140.9 IPS |
|
|
Object Detection (HP)
|
100% |
13861
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18866
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3049
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
33692
400.3 IPS |
|
|
Face Detection (Q)
|
100% |
49006
582.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6978
53.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
78115
601.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
128796
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
21020
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
204915
263.4 IPS |
|
|
Style Transfer (Q)
|
96% |
247427
319.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4899
180.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33566
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57715
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2269
3.03 KIPS |
|
|
Text Classification (Q)
|
93% |
2054
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3067
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6511
112.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7194
124.3 IPS |
