iPhone 15 Pro Max
Geekbench AI Score
3842
Single Precision Score
6810
Half Precision Score
5492
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 03:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1620
301.3 IPS |
|
|
Image Classification (HP)
|
100% |
2986
555.2 IPS |
|
|
Image Classification (Q)
|
96% |
2038
380.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1637
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2542
41.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3061
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7694
8.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
15934
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14048
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1723
136.7 IPS |
|
|
Object Detection (HP)
|
97% |
3251
258.8 IPS |
|
|
Object Detection (Q)
|
94% |
2269
180.9 IPS |
|
|
Face Detection (SP)
|
100% |
3081
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
6685
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
3808
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6717
51.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12661
97.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8325
65.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20160
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31809
40.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26892
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4763
175.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5888
217.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4333
160.0 IPS |
|
|
Text Classification (SP)
|
100% |
3240
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5784
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5664
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3102
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5954
102.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6010
103.9 IPS |
