iPhone 15 Pro Max
Geekbench AI Score
3868
Single Precision Score
21815
Half Precision Score
31475
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | laidbackdev |
| Upload Date | January 02 2026 10:46 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1534
285.3 IPS |
|
|
Image Classification (HP)
|
100% |
10058
1.87 KIPS |
|
|
Image Classification (Q)
|
97% |
14450
2.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1545
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16324
264.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
21384
346.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8392
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
102682
119.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
188296
220.7 IPS |
|
|
Object Detection (SP)
|
100% |
1689
133.9 IPS |
|
|
Object Detection (HP)
|
100% |
9148
725.6 IPS |
|
|
Object Detection (Q)
|
91% |
16170
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
3036
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
34036
404.4 IPS |
|
|
Face Detection (Q)
|
100% |
49098
583.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6959
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
56005
431.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
62094
485.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22210
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
188073
241.8 IPS |
|
|
Style Transfer (Q)
|
96% |
222879
287.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4897
180.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22688
837.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42776
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
3151
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
5460
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5390
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3087
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3565
61.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6475
111.9 IPS |
