Mac15,13
Geekbench AI Score
7597
Single Precision Score
9016
Half Precision Score
8239
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 08:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4325
804.4 IPS |
|
|
Image Classification (HP)
|
100% |
4716
876.9 IPS |
|
|
Image Classification (Q)
|
97% |
4050
755.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4332
70.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5979
96.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6311
102.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
25111
29.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
26601
31.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
25350
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
4446
352.6 IPS |
|
|
Object Detection (HP)
|
100% |
4909
389.4 IPS |
|
|
Object Detection (Q)
|
91% |
4159
332.3 IPS |
|
|
Face Detection (SP)
|
100% |
11769
139.8 IPS |
|
|
Face Detection (HP)
|
100% |
15110
179.5 IPS |
|
|
Face Detection (Q)
|
100% |
10944
130.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18647
143.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
20499
157.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
17484
136.7 IPS |
|
|
Style Transfer (SP)
|
100% |
52048
66.9 IPS |
|
|
Style Transfer (HP)
|
100% |
60613
77.9 IPS |
|
|
Style Transfer (Q)
|
96% |
56739
73.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11035
407.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11869
438.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9519
351.5 IPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5286
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5199
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (Q)
|
98% |
996
17.2 IPS |
