iPhone 15 Pro
Geekbench AI Score
2984
Single Precision Score
5475
Half Precision Score
4393
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 11:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1213
225.6 IPS |
|
|
Image Classification (HP)
|
100% |
2206
410.2 IPS |
|
|
Image Classification (Q)
|
96% |
1503
280.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1315
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1976
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2305
37.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6353
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
13277
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11326
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1318
104.6 IPS |
|
|
Object Detection (HP)
|
97% |
2492
198.4 IPS |
|
|
Object Detection (Q)
|
94% |
1781
141.9 IPS |
|
|
Face Detection (SP)
|
100% |
2246
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
5126
60.9 IPS |
|
|
Face Detection (Q)
|
100% |
2849
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5426
41.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9756
75.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6812
53.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16627
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25407
32.7 IPS |
|
|
Style Transfer (Q)
|
96% |
20963
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3814
140.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4627
170.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3317
122.5 IPS |
|
|
Text Classification (SP)
|
100% |
2579
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
4537
6.06 KIPS |
|
|
Text Classification (Q)
|
93% |
4528
6.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2106
36.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6302
108.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6278
108.5 IPS |
