iPhone 15 Pro Max
Geekbench AI Score
3807
Single Precision Score
6680
Half Precision Score
5457
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | November 07 2024 05:23 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1651
307.1 IPS |
|
|
Image Classification (HP)
|
100% |
2904
540.0 IPS |
|
|
Image Classification (Q)
|
96% |
2011
375.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1588
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2398
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3035
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7484
8.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
15227
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13410
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1729
137.2 IPS |
|
|
Object Detection (HP)
|
97% |
3309
263.5 IPS |
|
|
Object Detection (Q)
|
94% |
2297
183.1 IPS |
|
|
Face Detection (SP)
|
100% |
3073
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
6683
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
3749
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6709
51.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12842
99.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8920
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19974
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31258
40.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26232
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4639
171.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5718
211.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4298
158.7 IPS |
|
|
Text Classification (SP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5535
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5499
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3091
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5939
102.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6017
104.0 IPS |
