iPhone 15 Pro Max
Geekbench AI Score
3778
Single Precision Score
6664
Half Precision Score
5444
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | November 12 2024 05:19 AM |
| Views | 6 |
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% |
1594
296.4 IPS |
|
|
Image Classification (HP)
|
100% |
2918
542.7 IPS |
|
|
Image Classification (Q)
|
96% |
2001
373.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1563
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2353
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3029
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7343
8.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
15071
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13334
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1719
136.3 IPS |
|
|
Object Detection (HP)
|
97% |
3291
262.0 IPS |
|
|
Object Detection (Q)
|
94% |
2301
183.4 IPS |
|
|
Face Detection (SP)
|
100% |
3089
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6621
78.7 IPS |
|
|
Face Detection (Q)
|
100% |
3743
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6660
51.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12888
99.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8906
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19790
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
31136
40.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26166
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4604
170.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5677
209.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4241
156.6 IPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5605
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5543
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3139
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6006
103.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6005
103.8 IPS |
