iPhone 15 Pro Max
Geekbench AI Score
3947
Single Precision Score
6845
Half Precision Score
5966
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | August 15 2024 08:09 PM |
| Views | 18 |
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% |
1713
318.6 IPS |
|
|
Image Classification (HP)
|
100% |
2900
539.3 IPS |
|
|
Image Classification (Q)
|
99% |
2906
542.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1650
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2491
40.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
2552
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8117
9.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
16670
19.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14087
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1770
140.4 IPS |
|
|
Object Detection (HP)
|
97% |
3350
266.7 IPS |
|
|
Object Detection (Q)
|
94% |
2327
185.5 IPS |
|
|
Face Detection (SP)
|
100% |
3179
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6618
78.6 IPS |
|
|
Face Detection (Q)
|
100% |
3826
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7037
54.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13260
102.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
13358
103.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21191
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32401
41.7 IPS |
|
|
Style Transfer (Q)
|
100% |
32378
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4948
182.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6179
228.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4355
161.3 IPS |
|
|
Text Classification (SP)
|
100% |
3104
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
5325
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5456
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3109
53.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5986
103.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5979
103.3 IPS |
