iPhone 15 Pro Max
Geekbench AI Score
4982
Single Precision Score
5932
Half Precision Score
5171
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 08:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2033
378.1 IPS |
|
|
Image Classification (HP)
|
100% |
2107
391.8 IPS |
|
|
Image Classification (Q)
|
97% |
1805
336.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2917
47.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3967
64.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3933
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15061
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15902
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14680
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2516
199.6 IPS |
|
|
Object Detection (HP)
|
100% |
2804
222.4 IPS |
|
|
Object Detection (Q)
|
91% |
2248
179.7 IPS |
|
|
Face Detection (SP)
|
100% |
6441
76.5 IPS |
|
|
Face Detection (HP)
|
100% |
9013
107.1 IPS |
|
|
Face Detection (Q)
|
100% |
6241
74.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11479
88.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12776
98.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
10437
81.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30066
38.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35264
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32433
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6348
234.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6757
249.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5254
194.0 IPS |
|
|
Text Classification (SP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5484
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5459
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
930
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
963
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
963
16.6 IPS |
