iPhone 15 Pro Max
Geekbench AI Score
3886
Single Precision Score
25315
Half Precision Score
35815
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Fusedstamen |
| Upload Date | June 23 2025 08:57 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1668
310.2 IPS |
|
|
Image Classification (HP)
|
100% |
11410
2.12 KIPS |
|
|
Image Classification (Q)
|
97% |
15984
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1616
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16262
263.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
21549
349.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7460
8.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
105416
123.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
205523
240.9 IPS |
|
|
Object Detection (SP)
|
100% |
1773
140.7 IPS |
|
|
Object Detection (HP)
|
100% |
13868
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19017
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3075
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
34083
405.0 IPS |
|
|
Face Detection (Q)
|
100% |
52576
624.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6875
53.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78475
604.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
127992
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
21018
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
207492
266.7 IPS |
|
|
Style Transfer (Q)
|
96% |
255363
329.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4840
178.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34657
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56914
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3237
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
3273
4.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3444
4.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3168
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6332
109.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7659
132.4 IPS |
