Mac15,12
Geekbench AI Score
8864
Single Precision Score
9784
Half Precision Score
9143
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | IMaT_UoA |
| Upload Date | July 16 2025 10:14 AM |
| Views | 5 |
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% |
4328
804.9 IPS |
|
|
Image Classification (HP)
|
100% |
4713
876.4 IPS |
|
|
Image Classification (Q)
|
96% |
4339
810.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6498
105.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6980
113.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6735
109.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
25177
29.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
26216
30.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
25965
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
4411
349.9 IPS |
|
|
Object Detection (HP)
|
100% |
4952
392.8 IPS |
|
|
Object Detection (Q)
|
92% |
4478
357.5 IPS |
|
|
Face Detection (SP)
|
100% |
11904
141.4 IPS |
|
|
Face Detection (HP)
|
100% |
15365
182.6 IPS |
|
|
Face Detection (Q)
|
100% |
12259
145.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
19065
146.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20176
155.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
18673
145.9 IPS |
|
|
Style Transfer (SP)
|
100% |
52151
67.0 IPS |
|
|
Style Transfer (HP)
|
100% |
59674
76.7 IPS |
|
|
Style Transfer (Q)
|
96% |
58321
75.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11240
415.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10862
401.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9613
355.0 IPS |
|
|
Text Classification (SP)
|
100% |
3002
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5413
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5378
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2403
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1732
29.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1742
30.1 IPS |
