iPhone 15 Pro Max
Geekbench AI Score
3908
Single Precision Score
6826
Half Precision Score
5561
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 07 2024 06:44 PM |
| Views | 3 |
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% |
1712
318.4 IPS |
|
|
Image Classification (HP)
|
100% |
2926
544.1 IPS |
|
|
Image Classification (Q)
|
96% |
2026
378.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1595
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2457
39.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3081
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7951
9.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
16248
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14060
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1780
141.2 IPS |
|
|
Object Detection (HP)
|
97% |
3336
265.6 IPS |
|
|
Object Detection (Q)
|
94% |
2344
186.9 IPS |
|
|
Face Detection (SP)
|
100% |
3119
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6747
80.2 IPS |
|
|
Face Detection (Q)
|
100% |
3864
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6940
53.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13277
102.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9189
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20769
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32005
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27005
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4834
178.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5772
213.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4332
159.9 IPS |
|
|
Text Classification (SP)
|
100% |
3209
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5676
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5514
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3085
53.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6008
103.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6010
103.9 IPS |
