iPhone 15 Pro
Geekbench AI Score
2972
Single Precision Score
20671
Half Precision Score
28855
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 02 2025 08:33 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1206
224.3 IPS |
|
|
Image Classification (HP)
|
100% |
9209
1.71 KIPS |
|
|
Image Classification (Q)
|
97% |
13308
2.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1277
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13144
213.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19246
312.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6333
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
63955
74.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
122897
144.0 IPS |
|
|
Object Detection (SP)
|
100% |
1309
103.8 IPS |
|
|
Object Detection (HP)
|
100% |
11269
893.9 IPS |
|
|
Object Detection (Q)
|
91% |
15192
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
2301
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
27680
328.9 IPS |
|
|
Face Detection (Q)
|
100% |
38750
460.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5389
41.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
57363
441.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
97849
765.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16540
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
142750
183.5 IPS |
|
|
Style Transfer (Q)
|
96% |
171507
221.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3663
135.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29151
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47505
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
2509
3.35 KIPS |
|
|
Text Classification (HP)
|
99% |
4367
5.83 KIPS |
|
|
Text Classification (Q)
|
93% |
4288
5.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2238
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5659
97.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6317
109.2 IPS |
