iPhone 15 Pro
Geekbench AI Score
3949
Single Precision Score
25151
Half Precision Score
35354
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 10 2025 09:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1700
316.1 IPS |
|
|
Image Classification (HP)
|
100% |
10752
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
15140
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1611
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16493
267.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21272
344.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7790
9.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
105583
123.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
207039
242.7 IPS |
|
|
Object Detection (SP)
|
100% |
1780
141.2 IPS |
|
|
Object Detection (HP)
|
100% |
13886
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
20071
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
3180
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
33874
402.5 IPS |
|
|
Face Detection (Q)
|
100% |
51953
617.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6996
53.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78678
606.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
127273
995.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21335
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
201958
259.6 IPS |
|
|
Style Transfer (Q)
|
96% |
250885
323.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4880
180.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35365
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55042
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3258
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
3132
4.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3315
4.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3224
55.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6535
112.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7531
130.1 IPS |
