iPhone 15 Pro Max
Geekbench AI Score
3493
Single Precision Score
26928
Half Precision Score
37200
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 05:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1546
287.5 IPS |
|
|
Image Classification (HP)
|
100% |
11397
2.12 KIPS |
|
|
Image Classification (Q)
|
97% |
14675
2.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1556
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16093
260.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21086
341.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6933
8.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
101762
118.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
204530
239.7 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
100% |
13877
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17430
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
2954
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
34798
413.5 IPS |
|
|
Face Detection (Q)
|
100% |
50944
605.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6278
48.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
73837
568.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
126056
985.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18032
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
195853
251.8 IPS |
|
|
Style Transfer (Q)
|
96% |
250438
323.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4486
165.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34145
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57590
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2948
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5218
6.97 KIPS |
|
|
Text Classification (Q)
|
93% |
4971
6.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2438
42.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8633
148.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9993
172.7 IPS |
