iPhone 15 Pro Max
Geekbench AI Score
3789
Single Precision Score
6728
Half Precision Score
5523
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 26 2025 08:54 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% |
1635
304.1 IPS |
|
|
Image Classification (HP)
|
100% |
2891
537.7 IPS |
|
|
Image Classification (Q)
|
96% |
2006
374.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1549
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2308
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2946
47.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7519
8.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
15480
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13631
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1703
135.1 IPS |
|
|
Object Detection (HP)
|
97% |
3220
256.3 IPS |
|
|
Object Detection (Q)
|
94% |
2320
184.9 IPS |
|
|
Face Detection (SP)
|
100% |
3031
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
6543
77.7 IPS |
|
|
Face Detection (Q)
|
100% |
3713
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6683
51.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12575
97.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8818
68.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20116
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32933
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27206
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4615
170.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5639
208.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4323
159.6 IPS |
|
|
Text Classification (SP)
|
100% |
3180
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5254
7.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5182
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3148
54.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7125
123.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7083
122.4 IPS |
