iPhone 15 Pro Max
Geekbench AI Score
3969
Single Precision Score
6854
Half Precision Score
5611
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | nadozza |
| Upload Date | September 28 2024 01:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1722
320.2 IPS |
|
|
Image Classification (HP)
|
100% |
2905
540.3 IPS |
|
|
Image Classification (Q)
|
96% |
2011
375.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1607
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2394
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3078
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8297
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
16635
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14521
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1799
142.7 IPS |
|
|
Object Detection (HP)
|
97% |
3351
266.8 IPS |
|
|
Object Detection (Q)
|
94% |
2343
186.8 IPS |
|
|
Face Detection (SP)
|
100% |
3160
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6662
79.2 IPS |
|
|
Face Detection (Q)
|
100% |
3866
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7145
55.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13513
104.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9280
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21207
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32695
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27534
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4992
184.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6035
222.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4439
163.9 IPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5597
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5642
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3079
53.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5937
102.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5941
102.7 IPS |
