iPhone 15 Pro Max
Geekbench AI Score
3980
Single Precision Score
6973
Half Precision Score
5703
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 07:02 PM |
| 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% |
1681
312.6 IPS |
|
|
Image Classification (HP)
|
100% |
2957
549.9 IPS |
|
|
Image Classification (Q)
|
96% |
2050
382.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2352
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3041
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8456
9.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
16930
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14578
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1767
140.2 IPS |
|
|
Object Detection (HP)
|
97% |
3290
261.9 IPS |
|
|
Object Detection (Q)
|
94% |
2356
187.8 IPS |
|
|
Face Detection (SP)
|
100% |
3120
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6722
79.9 IPS |
|
|
Face Detection (Q)
|
100% |
3854
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7060
54.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12758
98.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8975
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21545
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34623
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28460
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4921
181.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5749
212.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4396
162.3 IPS |
|
|
Text Classification (SP)
|
100% |
3308
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5542
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5460
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3199
55.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7419
128.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7203
124.5 IPS |
