iPhone 15 Pro
Geekbench AI Score
3852
Single Precision Score
26496
Half Precision Score
36712
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 02:54 AM |
| Views | 4 |
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% |
1678
312.0 IPS |
|
|
Image Classification (HP)
|
100% |
11227
2.09 KIPS |
|
|
Image Classification (Q)
|
97% |
15428
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1588
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16561
268.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21391
346.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7443
8.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
102932
120.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
203988
239.1 IPS |
|
|
Object Detection (SP)
|
100% |
1738
137.9 IPS |
|
|
Object Detection (HP)
|
100% |
13483
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
17280
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3178
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
34664
411.9 IPS |
|
|
Face Detection (Q)
|
100% |
50935
605.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6742
51.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78104
601.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
123673
966.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20037
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
205111
263.7 IPS |
|
|
Style Transfer (Q)
|
96% |
248634
320.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4567
168.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34266
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
63718
2.35 KIPS |
|
|
Text Classification (SP)
|
100% |
3282
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5553
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5646
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3248
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6255
107.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6786
117.3 IPS |
