iPhone 15 Pro Max
Geekbench AI Score
3716
Single Precision Score
6586
Half Precision Score
5373
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:50 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1527
283.9 IPS |
|
|
Image Classification (HP)
|
100% |
2825
525.3 IPS |
|
|
Image Classification (Q)
|
96% |
1953
364.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1623
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2316
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2895
46.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7062
8.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
14551
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12920
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1660
131.7 IPS |
|
|
Object Detection (HP)
|
97% |
3260
259.5 IPS |
|
|
Object Detection (Q)
|
94% |
2260
180.1 IPS |
|
|
Face Detection (SP)
|
100% |
3032
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
6391
75.9 IPS |
|
|
Face Detection (Q)
|
100% |
3667
43.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6613
51.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12941
100.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8813
68.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19543
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
30996
39.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26225
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4483
165.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5786
213.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4353
160.7 IPS |
|
|
Text Classification (SP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5553
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5472
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3089
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6009
103.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6021
104.1 IPS |
