iPhone 15 Pro Max
Geekbench AI Score
3752
Single Precision Score
21065
Half Precision Score
26532
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Estudio-Iron |
| Upload Date | August 18 2024 05:38 PM |
| Views | 11 |
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% |
1599
297.4 IPS |
|
|
Image Classification (HP)
|
100% |
10421
1.94 KIPS |
|
|
Image Classification (Q)
|
99% |
13066
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1557
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10825
175.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
11051
179.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7190
8.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
96650
112.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
193101
226.5 IPS |
|
|
Object Detection (SP)
|
100% |
1704
135.2 IPS |
|
|
Object Detection (HP)
|
100% |
13029
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
18726
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3069
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
21814
259.2 IPS |
|
|
Face Detection (Q)
|
100% |
34916
414.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6633
51.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
64176
494.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
73575
568.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19535
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
138155
177.6 IPS |
|
|
Style Transfer (Q)
|
100% |
138055
177.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4579
169.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33714
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
54196
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3208
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3062
4.09 KIPS |
|
|
Text Classification (Q)
|
93% |
2365
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3103
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6068
104.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7285
125.9 IPS |
