iPhone 15 Pro Max
Geekbench AI Score
3510
Single Precision Score
6462
Half Precision Score
5253
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 22 2025 09:47 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1574
292.7 IPS |
|
|
Image Classification (HP)
|
100% |
2959
550.2 IPS |
|
|
Image Classification (Q)
|
96% |
2041
381.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1540
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2316
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2846
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6771
7.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
14142
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12299
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1605
127.3 IPS |
|
|
Object Detection (HP)
|
97% |
3098
246.7 IPS |
|
|
Object Detection (Q)
|
94% |
2187
174.3 IPS |
|
|
Face Detection (SP)
|
100% |
2835
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
6062
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3385
40.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5759
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11549
89.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8074
63.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17893
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29038
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24677
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4053
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5745
212.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4072
150.4 IPS |
|
|
Text Classification (SP)
|
100% |
3245
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5743
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5798
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2810
48.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6308
109.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6437
111.2 IPS |
