iPhone 15 Pro Max
Geekbench AI Score
3783
Single Precision Score
6650
Half Precision Score
5740
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ChrisCR8IV |
| Upload Date | August 27 2024 06:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1645
305.9 IPS |
|
|
Image Classification (HP)
|
100% |
2885
536.4 IPS |
|
|
Image Classification (Q)
|
99% |
2839
529.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1555
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2348
38.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
2345
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7501
8.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
15253
17.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
13260
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1678
133.1 IPS |
|
|
Object Detection (HP)
|
97% |
3219
256.3 IPS |
|
|
Object Detection (Q)
|
94% |
2267
180.7 IPS |
|
|
Face Detection (SP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
6381
75.8 IPS |
|
|
Face Detection (Q)
|
100% |
3687
43.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6644
51.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12922
99.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
12507
96.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19845
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31861
41.0 IPS |
|
|
Style Transfer (Q)
|
100% |
30550
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4655
171.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6132
226.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4261
157.9 IPS |
|
|
Text Classification (SP)
|
100% |
3255
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5494
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5465
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3130
53.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5754
99.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5916
102.2 IPS |
