iPhone 15 Pro Max
Geekbench AI Score
2896
Single Precision Score
13949
Half Precision Score
16104
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | DmytroVlasenko |
| Upload Date | August 17 2024 08:24 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1454
270.3 IPS |
|
|
Image Classification (HP)
|
100% |
6232
1.16 KIPS |
|
|
Image Classification (Q)
|
99% |
6785
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
827
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5233
84.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
5245
85.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8616
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
87164
101.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
149089
174.9 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.2 IPS |
|
|
Object Detection (HP)
|
100% |
8171
648.2 IPS |
|
|
Object Detection (Q)
|
93% |
9965
795.1 IPS |
|
|
Face Detection (SP)
|
100% |
2401
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
11200
133.1 IPS |
|
|
Face Detection (Q)
|
100% |
13299
158.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5037
38.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
42178
325.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
48163
372.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13122
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
127767
164.2 IPS |
|
|
Style Transfer (Q)
|
100% |
127757
164.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4429
163.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18197
671.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
26371
977.0 IPS |
|
|
Text Classification (SP)
|
100% |
1848
2.47 KIPS |
|
|
Text Classification (HP)
|
71% |
4109
5.91 KIPS |
|
|
Text Classification (Q)
|
69% |
3903
5.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1960
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2661
45.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2636
45.6 IPS |
