Mac15,13
Geekbench AI Score
4039
Single Precision Score
32332
Half Precision Score
36524
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 13 2024 10:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | Mac15,13 |
| Model ID | Mac15,13 |
| Motherboard | Mac15,13 |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1570
291.9 IPS |
|
|
Image Classification (HP)
|
100% |
17125
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
20070
3.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1903
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20745
336.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25156
407.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8427
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
121943
142.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
121204
142.1 IPS |
|
|
Object Detection (SP)
|
100% |
1828
145.0 IPS |
|
|
Object Detection (HP)
|
100% |
18236
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
21262
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3412
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
38763
460.6 IPS |
|
|
Face Detection (Q)
|
100% |
50278
597.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7145
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
97999
755.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
123750
967.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22268
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
223293
287.0 IPS |
|
|
Style Transfer (Q)
|
96% |
218443
281.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5011
185.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44961
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54601
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5178
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5143
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3145
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8004
137.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8509
147.0 IPS |
