Mac15,12
Geekbench AI Score
8757
Single Precision Score
9854
Half Precision Score
9164
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | IMaT_UoA |
| Upload Date | July 16 2025 10:07 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% |
4319
803.2 IPS |
|
|
Image Classification (HP)
|
100% |
4700
874.0 IPS |
|
|
Image Classification (Q)
|
96% |
4371
816.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6514
105.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7001
113.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6735
109.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
25180
29.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
26235
30.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
25972
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
4410
349.8 IPS |
|
|
Object Detection (HP)
|
100% |
4939
391.7 IPS |
|
|
Object Detection (Q)
|
92% |
4481
357.7 IPS |
|
|
Face Detection (SP)
|
100% |
11930
141.8 IPS |
|
|
Face Detection (HP)
|
100% |
15317
182.0 IPS |
|
|
Face Detection (Q)
|
100% |
12413
147.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19136
147.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
20234
155.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
18668
145.8 IPS |
|
|
Style Transfer (SP)
|
100% |
52390
67.3 IPS |
|
|
Style Transfer (HP)
|
100% |
59865
77.0 IPS |
|
|
Style Transfer (Q)
|
96% |
58143
75.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11017
406.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10890
402.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9564
353.1 IPS |
|
|
Text Classification (SP)
|
100% |
2999
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5419
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5396
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2150
37.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1851
31.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1754
30.3 IPS |
