iPhone 15 Pro
Geekbench AI Score
3899
Single Precision Score
26632
Half Precision Score
36461
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 15 2025 11:53 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1665
309.7 IPS |
|
|
Image Classification (HP)
|
100% |
10957
2.04 KIPS |
|
|
Image Classification (Q)
|
97% |
15716
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16695
270.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
21340
345.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7538
8.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
105093
122.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
207445
243.1 IPS |
|
|
Object Detection (SP)
|
100% |
1756
139.3 IPS |
|
|
Object Detection (HP)
|
100% |
13918
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18465
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
3174
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
34366
408.3 IPS |
|
|
Face Detection (Q)
|
100% |
47747
567.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6893
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78140
602.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
121897
953.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20639
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
203392
261.5 IPS |
|
|
Style Transfer (Q)
|
96% |
249047
321.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4778
176.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34599
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59000
2.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3296
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5438
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5401
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3256
56.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6529
112.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6998
120.9 IPS |
