iPhone 15 Pro Max
Geekbench AI Score
3671
Single Precision Score
6810
Half Precision Score
5546
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 18 2025 08:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1526
283.9 IPS |
|
|
Image Classification (HP)
|
100% |
2957
549.8 IPS |
|
|
Image Classification (Q)
|
96% |
2019
377.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1540
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2369
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2952
47.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6888
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
15422
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13455
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1608
127.6 IPS |
|
|
Object Detection (HP)
|
97% |
3229
257.0 IPS |
|
|
Object Detection (Q)
|
94% |
2316
184.6 IPS |
|
|
Face Detection (SP)
|
100% |
2981
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
6538
77.7 IPS |
|
|
Face Detection (Q)
|
100% |
3688
43.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6522
50.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12790
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8720
68.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19652
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31813
40.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26578
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4411
162.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5631
207.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4330
159.9 IPS |
|
|
Text Classification (SP)
|
100% |
3292
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5750
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5722
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3081
53.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7146
123.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7010
121.1 IPS |
