iPhone 15 Pro Max
Geekbench AI Score
3932
Single Precision Score
6901
Half Precision Score
5975
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| Upload Date | August 22 2024 09:50 PM |
| Views | 2 |
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% |
1714
318.8 IPS |
|
|
Image Classification (HP)
|
100% |
2936
546.0 IPS |
|
|
Image Classification (Q)
|
99% |
2949
550.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1605
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2505
40.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
2404
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7752
9.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
16092
18.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
13933
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1769
140.3 IPS |
|
|
Object Detection (HP)
|
97% |
3317
264.0 IPS |
|
|
Object Detection (Q)
|
94% |
2318
184.7 IPS |
|
|
Face Detection (SP)
|
100% |
3157
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6593
78.3 IPS |
|
|
Face Detection (Q)
|
100% |
3807
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6894
53.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13234
102.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
13210
102.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20875
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32631
41.9 IPS |
|
|
Style Transfer (Q)
|
100% |
33125
42.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4881
180.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6094
225.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4375
162.1 IPS |
|
|
Text Classification (SP)
|
100% |
3241
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5674
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5641
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3264
56.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6343
109.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6168
106.6 IPS |
