iPhone 15 Pro Max
Geekbench AI Score
1765
Single Precision Score
3019
Half Precision Score
2446
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 02:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
637
118.5 IPS |
|
|
Image Classification (HP)
|
100% |
1206
224.3 IPS |
|
|
Image Classification (Q)
|
96% |
844
157.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
775
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1105
17.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1299
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3724
4.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
7126
8.31 IPS |
|
|
Pose Estimation (Q)
|
95% |
6326
7.42 IPS |
|
|
Object Detection (SP)
|
100% |
698
55.3 IPS |
|
|
Object Detection (HP)
|
97% |
1361
108.3 IPS |
|
|
Object Detection (Q)
|
94% |
1005
80.1 IPS |
|
|
Face Detection (SP)
|
100% |
1668
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
2909
34.6 IPS |
|
|
Face Detection (Q)
|
100% |
1636
19.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2846
21.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5284
40.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
3814
29.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9676
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14581
18.7 IPS |
|
|
Style Transfer (Q)
|
96% |
12002
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2230
82.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2654
98.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1917
70.8 IPS |
|
|
Text Classification (SP)
|
100% |
1401
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2484
3.31 KIPS |
|
|
Text Classification (Q)
|
93% |
2481
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1594
27.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3294
56.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3097
53.5 IPS |
