iPhone 15 Pro
Geekbench AI Score
3869
Single Precision Score
27124
Half Precision Score
36963
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | June 15 2025 09:54 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1676
311.7 IPS |
|
|
Image Classification (HP)
|
100% |
11443
2.13 KIPS |
|
|
Image Classification (Q)
|
97% |
15020
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1578
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16323
264.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
21287
345.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7593
8.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
105162
122.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
204678
239.9 IPS |
|
|
Object Detection (SP)
|
100% |
1768
140.2 IPS |
|
|
Object Detection (HP)
|
100% |
13882
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18239
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
3157
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
34131
405.6 IPS |
|
|
Face Detection (Q)
|
100% |
48006
570.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6899
53.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78522
605.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
123828
968.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21153
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
206621
265.6 IPS |
|
|
Style Transfer (Q)
|
96% |
245312
316.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4798
177.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35090
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56598
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2963
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5083
6.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5099
6.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3236
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8004
137.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9480
163.8 IPS |
