Mac15,12
Geekbench AI Score
8510
Single Precision Score
9774
Half Precision Score
9586
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | IMaT_UoA |
| Upload Date | July 16 2025 10:09 AM |
| Views | 4 |
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% |
4344
807.8 IPS |
|
|
Image Classification (HP)
|
100% |
4712
876.2 IPS |
|
|
Image Classification (Q)
|
96% |
4371
816.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6514
105.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6975
113.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6724
109.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
25195
29.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
26239
30.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
25964
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
4407
349.6 IPS |
|
|
Object Detection (HP)
|
100% |
4942
392.0 IPS |
|
|
Object Detection (Q)
|
92% |
4481
357.7 IPS |
|
|
Face Detection (SP)
|
100% |
11846
140.8 IPS |
|
|
Face Detection (HP)
|
100% |
15323
182.1 IPS |
|
|
Face Detection (Q)
|
100% |
12349
146.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
19054
146.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
20338
156.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
18657
145.7 IPS |
|
|
Style Transfer (SP)
|
100% |
52199
67.1 IPS |
|
|
Style Transfer (HP)
|
100% |
59662
76.7 IPS |
|
|
Style Transfer (Q)
|
96% |
58346
75.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11240
415.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10852
400.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9589
354.1 IPS |
|
|
Text Classification (SP)
|
100% |
3007
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5410
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5374
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1594
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1711
29.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2767
47.8 IPS |
