iPhone 15 Pro Max
Geekbench AI Score
5056
Single Precision Score
5835
Half Precision Score
5494
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 12:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2172
403.9 IPS |
|
|
Image Classification (HP)
|
100% |
1931
359.2 IPS |
|
|
Image Classification (Q)
|
96% |
1539
287.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3645
59.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4190
67.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4028
65.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12991
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14203
16.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
12811
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
2430
192.8 IPS |
|
|
Object Detection (HP)
|
100% |
2765
219.3 IPS |
|
|
Object Detection (Q)
|
92% |
2403
191.8 IPS |
|
|
Face Detection (SP)
|
100% |
6380
75.8 IPS |
|
|
Face Detection (HP)
|
100% |
8556
101.7 IPS |
|
|
Face Detection (Q)
|
100% |
6765
80.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10884
83.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12364
95.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
11403
89.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26775
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
31209
40.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31405
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5436
200.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5746
212.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5474
202.1 IPS |
|
|
Text Classification (SP)
|
100% |
3016
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5524
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5516
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1434
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1375
23.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1796
31.0 IPS |
