iPhone 15 Pro Max
Geekbench AI Score
3486
Single Precision Score
25770
Half Precision Score
35247
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 03:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1525
283.7 IPS |
|
|
Image Classification (HP)
|
100% |
11008
2.05 KIPS |
|
|
Image Classification (Q)
|
97% |
14263
2.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1489
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16274
263.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18120
293.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6445
7.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
99495
116.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
200901
235.5 IPS |
|
|
Object Detection (SP)
|
100% |
1602
127.1 IPS |
|
|
Object Detection (HP)
|
100% |
12117
961.1 IPS |
|
|
Object Detection (Q)
|
91% |
16550
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
35028
416.2 IPS |
|
|
Face Detection (Q)
|
100% |
50839
604.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6451
49.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
70884
546.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
128085
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
19392
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
200949
258.3 IPS |
|
|
Style Transfer (Q)
|
96% |
236706
305.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4300
158.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33189
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57605
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3211
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5615
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5666
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2196
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6434
110.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6846
118.3 IPS |
