iPhone 15 Pro Max
Geekbench AI Score
3895
Single Precision Score
26280
Half Precision Score
36324
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | gnu08 |
| Upload Date | November 12 2025 03:48 AM |
| Views | 4 |
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% |
1587
295.1 IPS |
|
|
Image Classification (HP)
|
100% |
11072
2.06 KIPS |
|
|
Image Classification (Q)
|
97% |
15679
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1553
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15533
251.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21344
346.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8176
9.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
106719
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
201622
236.3 IPS |
|
|
Object Detection (SP)
|
100% |
1691
134.1 IPS |
|
|
Object Detection (HP)
|
100% |
13504
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
17684
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3087
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
33757
401.1 IPS |
|
|
Face Detection (Q)
|
100% |
45568
541.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7005
54.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78418
604.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
124942
976.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22138
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
207701
267.0 IPS |
|
|
Style Transfer (Q)
|
96% |
245579
316.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4866
179.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34493
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
61986
2.29 KIPS |
|
|
Text Classification (SP)
|
100% |
3240
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5422
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5368
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3129
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6167
106.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7205
124.5 IPS |
