Mac15,13
Geekbench AI Score
4143
Single Precision Score
32730
Half Precision Score
36714
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Mojoxer |
| Upload Date | November 17 2024 03:36 PM |
| Views | 9 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1574
292.7 IPS |
|
|
Image Classification (HP)
|
100% |
16663
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
20286
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1893
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20638
334.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24851
402.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8734
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122318
142.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
121252
142.1 IPS |
|
|
Object Detection (SP)
|
100% |
1833
145.4 IPS |
|
|
Object Detection (HP)
|
100% |
18472
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
20502
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
3519
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
38233
454.3 IPS |
|
|
Face Detection (Q)
|
100% |
49878
592.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7229
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
98218
756.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
122819
960.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22454
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
228498
293.7 IPS |
|
|
Style Transfer (Q)
|
96% |
220349
284.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5236
193.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47132
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56679
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3000
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5233
6.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5200
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3488
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8582
147.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8926
154.3 IPS |
