iPhone 15 Pro Max
Geekbench AI Score
4904
Single Precision Score
5892
Half Precision Score
5306
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | December 06 2024 06:16 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2136
397.3 IPS |
|
|
Image Classification (HP)
|
100% |
2355
438.0 IPS |
|
|
Image Classification (Q)
|
97% |
2046
381.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2547
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3682
59.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3767
61.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13056
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14008
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13284
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
2432
192.9 IPS |
|
|
Object Detection (HP)
|
100% |
2738
217.2 IPS |
|
|
Object Detection (Q)
|
91% |
2309
184.5 IPS |
|
|
Face Detection (SP)
|
100% |
6073
72.2 IPS |
|
|
Face Detection (HP)
|
100% |
8262
98.2 IPS |
|
|
Face Detection (Q)
|
100% |
5854
69.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10669
82.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11573
89.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
10354
80.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27324
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32549
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30448
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6005
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6299
232.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5022
185.4 IPS |
|
|
Text Classification (SP)
|
100% |
3215
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5717
7.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5613
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1363
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1353
23.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1440
24.9 IPS |
