Mac15,13
Geekbench AI Score
3960
Single Precision Score
6707
Half Precision Score
5437
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Martythebrit |
| Upload Date | November 07 2024 11:26 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.73 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1496
278.3 IPS |
|
|
Image Classification (HP)
|
100% |
2739
509.4 IPS |
|
|
Image Classification (Q)
|
96% |
1908
356.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1772
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2772
44.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3152
51.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8309
9.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
16716
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14497
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1775
140.8 IPS |
|
|
Object Detection (HP)
|
97% |
3190
253.9 IPS |
|
|
Object Detection (Q)
|
94% |
2290
182.5 IPS |
|
|
Face Detection (SP)
|
100% |
3482
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
6379
75.8 IPS |
|
|
Face Detection (Q)
|
100% |
3821
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6773
52.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13085
101.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9046
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20922
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32557
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27045
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4941
182.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5680
209.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4154
153.4 IPS |
|
|
Text Classification (SP)
|
100% |
2907
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5229
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5203
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3428
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5637
97.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5598
96.7 IPS |
