iPhone 15 Pro Max
Geekbench AI Score
3682
Single Precision Score
6676
Half Precision Score
5427
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 10 2025 11:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1648
306.4 IPS |
|
|
Image Classification (HP)
|
100% |
2941
546.9 IPS |
|
|
Image Classification (Q)
|
96% |
2018
376.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1574
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2988
48.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6970
8.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
14909
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12690
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1653
131.1 IPS |
|
|
Object Detection (HP)
|
97% |
3153
251.0 IPS |
|
|
Object Detection (Q)
|
94% |
2258
180.0 IPS |
|
|
Face Detection (SP)
|
100% |
3030
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
6505
77.3 IPS |
|
|
Face Detection (Q)
|
100% |
3611
42.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6467
49.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12299
95.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8625
67.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18365
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
31299
40.2 IPS |
|
|
Style Transfer (Q)
|
96% |
25233
32.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4477
165.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5793
213.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4293
158.5 IPS |
|
|
Text Classification (SP)
|
100% |
3022
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5379
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5399
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3149
54.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7034
121.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7043
121.7 IPS |
