iPhone 15 Pro Max
Geekbench AI Score
3467
Single Precision Score
23136
Half Precision Score
32518
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 08 2025 03:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1480
275.3 IPS |
|
|
Image Classification (HP)
|
100% |
11278
2.10 KIPS |
|
|
Image Classification (Q)
|
97% |
15470
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1338
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12784
207.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
17633
285.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5076
5.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
98792
115.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
205081
240.4 IPS |
|
|
Object Detection (SP)
|
100% |
1666
132.1 IPS |
|
|
Object Detection (HP)
|
100% |
13565
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
19303
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
2929
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
34975
415.6 IPS |
|
|
Face Detection (Q)
|
100% |
52430
623.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6443
49.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78824
607.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
131754
1.03 KIPS |
|
|
Style Transfer (SP)
|
100% |
18765
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
197915
254.4 IPS |
|
|
Style Transfer (Q)
|
96% |
252208
325.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4251
157.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33230
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59104
2.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3217
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1963
2.62 KIPS |
|
|
Text Classification (Q)
|
93% |
1556
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3102
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6392
110.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7641
132.1 IPS |
