Mac15,12
Geekbench AI Score
7438
Single Precision Score
8626
Half Precision Score
8321
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 03 2025 01:41 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3835
713.1 IPS |
|
|
Image Classification (HP)
|
100% |
4073
757.4 IPS |
|
|
Image Classification (Q)
|
96% |
3699
690.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5529
89.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5835
94.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5707
92.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18905
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
21443
25.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
20994
24.6 IPS |
|
|
Object Detection (SP)
|
100% |
3888
308.4 IPS |
|
|
Object Detection (HP)
|
100% |
4247
336.9 IPS |
|
|
Object Detection (Q)
|
92% |
3985
318.1 IPS |
|
|
Face Detection (SP)
|
100% |
10555
125.4 IPS |
|
|
Face Detection (HP)
|
100% |
13035
154.9 IPS |
|
|
Face Detection (Q)
|
100% |
10532
125.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16281
125.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18023
138.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
16552
129.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43193
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
49299
63.4 IPS |
|
|
Style Transfer (Q)
|
96% |
47586
61.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8502
313.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9121
336.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7902
291.8 IPS |
|
|
Text Classification (SP)
|
100% |
3031
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
5081
6.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5044
6.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1739
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1965
33.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2728
47.1 IPS |
