Mac15,13
Geekbench AI Score
4140
Single Precision Score
28812
Half Precision Score
32035
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Xabla |
| Upload Date | October 10 2024 09:36 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1583
294.4 IPS |
|
|
Image Classification (HP)
|
100% |
17437
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
21481
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16244
263.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18840
305.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8553
9.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
122826
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
121370
142.3 IPS |
|
|
Object Detection (SP)
|
100% |
1830
145.1 IPS |
|
|
Object Detection (HP)
|
100% |
18480
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
20830
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
3522
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
38941
462.7 IPS |
|
|
Face Detection (Q)
|
100% |
49835
592.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7162
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98843
761.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
124881
976.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22383
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
228387
293.6 IPS |
|
|
Style Transfer (Q)
|
96% |
220657
284.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5264
194.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48546
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57270
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5150
6.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5065
6.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3547
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2790
48.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2793
48.3 IPS |
