Mac15,12
Geekbench AI Score
8544
Single Precision Score
10122
Half Precision Score
9236
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Kukusa |
| Upload Date | July 30 2025 07:59 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac15,12 |
| Model ID | Mac15,12 |
| Motherboard | Mac15,12 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4238
788.1 IPS |
|
|
Image Classification (HP)
|
100% |
4564
848.8 IPS |
|
|
Image Classification (Q)
|
96% |
4109
767.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6312
102.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6855
111.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6625
107.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
23791
27.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
25287
29.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
25107
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
4213
334.2 IPS |
|
|
Object Detection (HP)
|
100% |
4771
378.4 IPS |
|
|
Object Detection (Q)
|
92% |
4302
343.4 IPS |
|
|
Face Detection (SP)
|
100% |
11140
132.4 IPS |
|
|
Face Detection (HP)
|
100% |
14674
174.4 IPS |
|
|
Face Detection (Q)
|
100% |
11728
139.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17823
137.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
19591
150.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
18030
140.8 IPS |
|
|
Style Transfer (SP)
|
100% |
49021
63.0 IPS |
|
|
Style Transfer (HP)
|
100% |
57482
73.9 IPS |
|
|
Style Transfer (Q)
|
96% |
56471
72.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10655
393.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10619
392.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9416
347.7 IPS |
|
|
Text Classification (SP)
|
100% |
3074
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
5449
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5429
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2428
41.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3130
53.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2518
43.5 IPS |
