iPhone 15 Pro
Geekbench AI Score
3898
Single Precision Score
25341
Half Precision Score
34405
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 02 2025 04:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1706
317.2 IPS |
|
|
Image Classification (HP)
|
100% |
11398
2.12 KIPS |
|
|
Image Classification (Q)
|
97% |
15612
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1592
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16444
266.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
21338
345.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7560
8.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
105299
122.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
208373
244.2 IPS |
|
|
Object Detection (SP)
|
100% |
1777
140.9 IPS |
|
|
Object Detection (HP)
|
100% |
13869
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19211
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3161
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
34619
411.3 IPS |
|
|
Face Detection (Q)
|
100% |
51740
614.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6840
52.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78062
601.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
128575
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
20692
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
207455
266.7 IPS |
|
|
Style Transfer (Q)
|
96% |
253961
327.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4748
175.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33871
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
62180
2.30 KIPS |
|
|
Text Classification (SP)
|
100% |
3232
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
3218
4.30 KIPS |
|
|
Text Classification (Q)
|
93% |
2198
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3235
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6529
112.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7548
130.4 IPS |
