Mac15,12
Geekbench AI Score
8527
Single Precision Score
9796
Half Precision Score
9150
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | IMaT_UoA |
| Upload Date | July 16 2025 10:11 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% |
4332
805.6 IPS |
|
|
Image Classification (HP)
|
100% |
4698
873.8 IPS |
|
|
Image Classification (Q)
|
96% |
4350
812.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6494
105.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6992
113.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6725
109.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
25212
29.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
26244
30.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
25932
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
4407
349.6 IPS |
|
|
Object Detection (HP)
|
100% |
4951
392.7 IPS |
|
|
Object Detection (Q)
|
92% |
4486
358.1 IPS |
|
|
Face Detection (SP)
|
100% |
11947
142.0 IPS |
|
|
Face Detection (HP)
|
100% |
15349
182.4 IPS |
|
|
Face Detection (Q)
|
100% |
12272
145.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19019
146.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
20226
155.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
18659
145.7 IPS |
|
|
Style Transfer (SP)
|
100% |
52916
68.0 IPS |
|
|
Style Transfer (HP)
|
100% |
59708
76.8 IPS |
|
|
Style Transfer (Q)
|
96% |
58329
75.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11230
414.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10870
401.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9592
354.2 IPS |
|
|
Text Classification (SP)
|
100% |
3002
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5427
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5407
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1605
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1744
30.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1745
30.2 IPS |
