iPhone 15 Pro Max
Geekbench AI Score
5060
Single Precision Score
5912
Half Precision Score
5411
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 16 2025 06:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1956
363.7 IPS |
|
|
Image Classification (HP)
|
100% |
2001
372.1 IPS |
|
|
Image Classification (Q)
|
96% |
1516
283.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3712
60.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4163
67.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4064
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13173
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14085
16.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
13466
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
2496
198.0 IPS |
|
|
Object Detection (HP)
|
100% |
2770
219.7 IPS |
|
|
Object Detection (Q)
|
92% |
2440
194.8 IPS |
|
|
Face Detection (SP)
|
100% |
6375
75.8 IPS |
|
|
Face Detection (HP)
|
100% |
8385
99.6 IPS |
|
|
Face Detection (Q)
|
100% |
6946
82.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11080
85.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12032
92.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
11155
87.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27737
35.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31670
40.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31405
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5543
204.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6091
224.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5448
201.2 IPS |
|
|
Text Classification (SP)
|
100% |
3233
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5621
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5649
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1469
25.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1420
24.5 IPS |
