iPhone 15 Pro
Geekbench AI Score
2229
Single Precision Score
19298
Half Precision Score
26281
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 08:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
911
169.4 IPS |
|
|
Image Classification (HP)
|
100% |
8831
1.64 KIPS |
|
|
Image Classification (Q)
|
97% |
11726
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
920
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12331
199.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
16983
275.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4282
5.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
61966
72.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
120637
141.4 IPS |
|
|
Object Detection (SP)
|
100% |
907
72.0 IPS |
|
|
Object Detection (HP)
|
100% |
10471
830.6 IPS |
|
|
Object Detection (Q)
|
91% |
13826
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
1882
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
24237
288.0 IPS |
|
|
Face Detection (Q)
|
100% |
34095
405.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3842
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
56105
432.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
93044
727.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11818
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
142019
182.6 IPS |
|
|
Style Transfer (Q)
|
96% |
171296
221.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2812
103.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26435
976.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41572
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
1967
2.63 KIPS |
|
|
Text Classification (HP)
|
99% |
3260
4.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3225
4.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1974
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6095
105.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6496
112.3 IPS |
