iPhone 15 Pro Max
Geekbench AI Score
3698
Single Precision Score
6788
Half Precision Score
5555
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 24 2025 03:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1552
288.6 IPS |
|
|
Image Classification (HP)
|
100% |
2916
542.3 IPS |
|
|
Image Classification (Q)
|
96% |
2025
378.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1515
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2316
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2967
48.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7163
8.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
15608
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13486
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1624
128.8 IPS |
|
|
Object Detection (HP)
|
97% |
3245
258.4 IPS |
|
|
Object Detection (Q)
|
94% |
2320
185.0 IPS |
|
|
Face Detection (SP)
|
100% |
2967
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
6550
77.8 IPS |
|
|
Face Detection (Q)
|
100% |
3695
43.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6539
50.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12479
96.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8711
68.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19717
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32295
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
26516
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4428
163.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5738
211.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4295
158.6 IPS |
|
|
Text Classification (SP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5573
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5637
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3221
55.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7197
124.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7216
124.7 IPS |
