Mac15,13
Geekbench AI Score
4142
Single Precision Score
7009
Half Precision Score
5653
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 07:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1586
295.0 IPS |
|
|
Image Classification (HP)
|
100% |
2961
550.7 IPS |
|
|
Image Classification (Q)
|
96% |
2073
387.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1940
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3008
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3326
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8529
9.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
17304
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15001
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1839
145.9 IPS |
|
|
Object Detection (HP)
|
97% |
3245
258.4 IPS |
|
|
Object Detection (Q)
|
94% |
2347
187.1 IPS |
|
|
Face Detection (SP)
|
100% |
3508
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
6784
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
3910
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7212
55.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13524
104.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9331
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22403
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34023
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28165
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5275
194.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5973
220.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4353
160.7 IPS |
|
|
Text Classification (SP)
|
100% |
2925
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5208
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5226
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3525
60.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5900
102.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5883
101.7 IPS |
