iPhone 15 Pro
Geekbench AI Score
2939
Single Precision Score
5346
Half Precision Score
4336
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 09:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1199
223.0 IPS |
|
|
Image Classification (HP)
|
100% |
2167
403.0 IPS |
|
|
Image Classification (Q)
|
96% |
1497
279.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1218
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1947
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2277
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6275
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
13148
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11347
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1323
104.9 IPS |
|
|
Object Detection (HP)
|
97% |
2504
199.3 IPS |
|
|
Object Detection (Q)
|
94% |
1768
141.0 IPS |
|
|
Face Detection (SP)
|
100% |
2231
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
4909
58.3 IPS |
|
|
Face Detection (Q)
|
100% |
2786
33.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5322
41.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9660
74.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6782
53.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16577
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25264
32.5 IPS |
|
|
Style Transfer (Q)
|
96% |
20822
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3604
133.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4249
156.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3245
119.8 IPS |
|
|
Text Classification (SP)
|
100% |
2514
3.36 KIPS |
|
|
Text Classification (HP)
|
99% |
4298
5.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4294
5.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2231
38.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6280
108.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6269
108.3 IPS |
