iPhone 15 Pro
Geekbench AI Score
3725
Single Precision Score
26702
Half Precision Score
35654
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2025 03:04 AM |
| Views | 2 |
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% |
1579
293.7 IPS |
|
|
Image Classification (HP)
|
100% |
10974
2.04 KIPS |
|
|
Image Classification (Q)
|
97% |
14696
2.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1549
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16654
270.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21316
345.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6840
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
102906
120.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
204447
239.6 IPS |
|
|
Object Detection (SP)
|
100% |
1644
130.4 IPS |
|
|
Object Detection (HP)
|
100% |
13449
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
17312
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3126
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
35279
419.2 IPS |
|
|
Face Detection (Q)
|
100% |
50246
597.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6638
51.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
77859
599.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
123708
967.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19753
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
207465
266.7 IPS |
|
|
Style Transfer (Q)
|
96% |
242951
313.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4440
164.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35387
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53996
1.99 KIPS |
|
|
Text Classification (SP)
|
100% |
3234
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5571
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5649
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3181
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6485
111.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6501
112.3 IPS |
