iPhone 15 Pro Max
Geekbench AI Score
4158
Single Precision Score
4635
Half Precision Score
4297
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | yusryprince |
| Upload Date | August 16 2024 11:44 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2037
378.8 IPS |
|
|
Image Classification (HP)
|
100% |
1823
338.9 IPS |
|
|
Image Classification (Q)
|
99% |
2052
382.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3045
49.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3908
63.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
3882
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14971
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16032
18.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
14633
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2415
191.5 IPS |
|
|
Object Detection (HP)
|
100% |
2737
217.1 IPS |
|
|
Object Detection (Q)
|
92% |
2360
188.4 IPS |
|
|
Face Detection (SP)
|
100% |
6732
80.0 IPS |
|
|
Face Detection (HP)
|
100% |
8521
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
6237
74.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11424
88.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12916
99.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
13250
102.4 IPS |
|
|
Style Transfer (SP)
|
100% |
29659
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34958
44.9 IPS |
|
|
Style Transfer (Q)
|
100% |
35958
46.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6192
228.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6651
245.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5274
195.4 IPS |
|
|
Text Classification (SP)
|
100% |
463
618.1 IPS |
|
|
Text Classification (HP)
|
100% |
516
688.8 IPS |
|
|
Text Classification (Q)
|
93% |
305
409.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1055
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1111
19.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1633
28.2 IPS |
