Mac15,12
Geekbench AI Score
4022
Single Precision Score
28442
Half Precision Score
31580
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 03:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1535
285.5 IPS |
|
|
Image Classification (HP)
|
100% |
16380
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
19856
3.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1845
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16033
259.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18347
297.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8283
9.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
121665
142.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
120875
141.7 IPS |
|
|
Object Detection (SP)
|
100% |
1787
141.8 IPS |
|
|
Object Detection (HP)
|
100% |
18450
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
20493
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
3344
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
38439
456.7 IPS |
|
|
Face Detection (Q)
|
100% |
49822
592.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7049
54.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98136
756.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
123409
964.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21971
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
226821
291.6 IPS |
|
|
Style Transfer (Q)
|
96% |
221830
286.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5138
189.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46930
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57171
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5328
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5132
6.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3368
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2747
47.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2732
47.2 IPS |
