iPhone 15 Pro Max
Geekbench AI Score
3706
Single Precision Score
4611
Half Precision Score
4334
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Risto3 |
| Upload Date | September 19 2024 01:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1722
320.2 IPS |
|
|
Image Classification (HP)
|
100% |
1619
301.1 IPS |
|
|
Image Classification (Q)
|
97% |
1954
364.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2877
46.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3908
63.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4042
65.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13603
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
13562
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12424
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
2523
200.1 IPS |
|
|
Object Detection (HP)
|
100% |
3039
241.0 IPS |
|
|
Object Detection (Q)
|
91% |
2314
184.9 IPS |
|
|
Face Detection (SP)
|
100% |
6107
72.6 IPS |
|
|
Face Detection (HP)
|
100% |
8410
99.9 IPS |
|
|
Face Detection (Q)
|
100% |
5957
70.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11371
87.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12535
96.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
10531
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26132
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
22507
28.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28851
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5269
194.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6459
238.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5232
193.2 IPS |
|
|
Text Classification (SP)
|
100% |
918
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
3818
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
4711
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
328
5.66 IPS |
|
|
Machine Translation (HP)
|
100% |
285
4.91 IPS |
|
|
Machine Translation (Q)
|
98% |
231
3.99 IPS |
