iPhone 15 Pro Max
Geekbench AI Score
4932
Single Precision Score
5986
Half Precision Score
5381
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 09:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2224
413.6 IPS |
|
|
Image Classification (HP)
|
100% |
2415
449.1 IPS |
|
|
Image Classification (Q)
|
97% |
2136
398.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2788
45.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3717
60.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3746
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13064
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13762
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13083
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
2420
192.0 IPS |
|
|
Object Detection (HP)
|
100% |
2861
226.9 IPS |
|
|
Object Detection (Q)
|
91% |
2328
186.0 IPS |
|
|
Face Detection (SP)
|
100% |
6164
73.2 IPS |
|
|
Face Detection (HP)
|
100% |
8661
102.9 IPS |
|
|
Face Detection (Q)
|
100% |
6062
72.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10854
83.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12037
92.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
10340
80.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27097
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31969
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29904
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5933
219.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6293
232.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5184
191.4 IPS |
|
|
Text Classification (SP)
|
100% |
3188
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5512
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5734
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1269
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1447
24.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1500
25.9 IPS |
