iPhone 15 Pro Max
Geekbench AI Score
3711
Single Precision Score
6804
Half Precision Score
5562
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 05:07 AM |
| Views | 1 |
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% |
1554
288.9 IPS |
|
|
Image Classification (HP)
|
100% |
2963
551.1 IPS |
|
|
Image Classification (Q)
|
96% |
2031
379.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1541
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2308
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2937
47.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7294
8.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
15881
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13798
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1623
128.8 IPS |
|
|
Object Detection (HP)
|
97% |
3239
257.8 IPS |
|
|
Object Detection (Q)
|
94% |
2310
184.1 IPS |
|
|
Face Detection (SP)
|
100% |
2983
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
6567
78.0 IPS |
|
|
Face Detection (Q)
|
100% |
3722
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6587
50.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12521
96.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8768
68.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19861
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32187
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26347
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4404
162.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5628
207.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4264
157.4 IPS |
|
|
Text Classification (SP)
|
100% |
3277
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5686
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5638
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3110
53.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7144
123.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7212
124.6 IPS |
