iPhone 17 Pro
Geekbench AI Score
4995
Single Precision Score
37718
Half Precision Score
51660
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 25 2026 08:05 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2302
428.1 IPS |
|
|
Image Classification (HP)
|
100% |
16384
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
22546
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19618
318.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24340
394.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7847
9.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
141002
164.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
267104
313.1 IPS |
|
|
Object Detection (SP)
|
100% |
2523
200.2 IPS |
|
|
Object Detection (HP)
|
100% |
17363
1.38 KIPS |
|
|
Object Detection (Q)
|
89% |
24632
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
4350
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
42754
508.0 IPS |
|
|
Face Detection (Q)
|
100% |
61897
735.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7447
57.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
101082
778.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
168438
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
20293
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
248679
319.7 IPS |
|
|
Style Transfer (Q)
|
96% |
319437
412.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4792
176.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55322
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82839
3.06 KIPS |
|
|
Text Classification (SP)
|
99% |
6616
8.83 KIPS |
|
|
Text Classification (HP)
|
100% |
11174
14.9 KIPS |
|
|
Text Classification (Q)
|
93% |
11021
14.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
4852
83.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11149
192.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12334
213.2 IPS |
