Mac15,13
Geekbench AI Score
3601
Single Precision Score
6370
Half Precision Score
5207
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Maxdboy100 |
| Upload Date | January 19 2025 12:02 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1371
254.9 IPS |
|
|
Image Classification (HP)
|
100% |
2843
528.7 IPS |
|
|
Image Classification (Q)
|
96% |
1997
373.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1566
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2736
44.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3090
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8167
9.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
16573
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14241
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1558
123.6 IPS |
|
|
Object Detection (HP)
|
97% |
2965
236.0 IPS |
|
|
Object Detection (Q)
|
94% |
2158
172.0 IPS |
|
|
Face Detection (SP)
|
100% |
2741
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
5150
61.2 IPS |
|
|
Face Detection (Q)
|
100% |
3396
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6299
48.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12676
98.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8716
68.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20573
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33039
42.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27360
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4830
178.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6050
223.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4347
160.5 IPS |
|
|
Text Classification (SP)
|
100% |
2891
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5045
6.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5032
6.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2711
46.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4373
75.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4364
75.4 IPS |
