iPhone 15 Pro Max
Geekbench AI Score
3619
Single Precision Score
6690
Half Precision Score
5498
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 05:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1503
279.5 IPS |
|
|
Image Classification (HP)
|
100% |
2955
549.6 IPS |
|
|
Image Classification (Q)
|
96% |
2038
380.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1511
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2300
37.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2975
48.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6574
7.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
14910
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12728
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1610
127.7 IPS |
|
|
Object Detection (HP)
|
97% |
3227
256.9 IPS |
|
|
Object Detection (Q)
|
94% |
2303
183.6 IPS |
|
|
Face Detection (SP)
|
100% |
2968
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
5896
70.1 IPS |
|
|
Face Detection (Q)
|
100% |
3646
43.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6473
49.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12492
96.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8742
68.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19438
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
31660
40.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26142
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4305
159.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5572
205.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4248
156.9 IPS |
|
|
Text Classification (SP)
|
100% |
3258
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5996
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5638
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3065
52.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7057
121.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7124
123.1 IPS |
