Mac15,12
Geekbench AI Score
4168
Single Precision Score
32729
Half Precision Score
37106
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | pakitt |
| Upload Date | November 04 2024 04:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1588
295.4 IPS |
|
|
Image Classification (HP)
|
100% |
16647
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
21225
3.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20633
334.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24415
395.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8652
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122729
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
121203
142.1 IPS |
|
|
Object Detection (SP)
|
100% |
1843
146.2 IPS |
|
|
Object Detection (HP)
|
100% |
18388
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
20570
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
3546
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
38804
461.1 IPS |
|
|
Face Detection (Q)
|
100% |
49791
591.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7259
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98596
759.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
123786
967.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22513
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
228572
293.8 IPS |
|
|
Style Transfer (Q)
|
96% |
222366
287.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5289
195.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47546
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56939
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5141
6.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5488
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3539
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8514
146.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8944
154.6 IPS |
