iPhone 17 Pro
Geekbench AI Score
5026
Single Precision Score
8264
Half Precision Score
6387
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 25 2026 08:02 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| Model | iPhone 17 Pro |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | Apple A19 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2313
430.1 IPS |
|
|
Image Classification (HP)
|
100% |
2780
516.9 IPS |
|
|
Image Classification (Q)
|
94% |
1871
349.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2087
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2299
37.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3283
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8189
9.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
15340
17.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
13197
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
2570
203.8 IPS |
|
|
Object Detection (HP)
|
98% |
4184
332.9 IPS |
|
|
Object Detection (Q)
|
88% |
2515
201.6 IPS |
|
|
Face Detection (SP)
|
100% |
4518
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
9457
112.4 IPS |
|
|
Face Detection (Q)
|
100% |
4344
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7378
56.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11175
86.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7718
60.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20737
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38820
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30853
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4781
176.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9187
339.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5847
215.9 IPS |
|
|
Text Classification (SP)
|
99% |
6641
8.86 KIPS |
|
|
Text Classification (HP)
|
99% |
10941
14.6 KIPS |
|
|
Text Classification (Q)
|
93% |
11228
15.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
4620
79.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8791
151.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8169
141.2 IPS |
