Mac15,13
Geekbench AI Score
4057
Single Precision Score
6996
Half Precision Score
5659
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | rismay |
| Upload Date | June 25 2025 05:23 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1574
292.7 IPS |
|
|
Image Classification (HP)
|
100% |
2968
551.9 IPS |
|
|
Image Classification (Q)
|
96% |
2060
384.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1867
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2913
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3238
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8916
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17502
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15035
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1813
143.8 IPS |
|
|
Object Detection (HP)
|
97% |
3235
257.6 IPS |
|
|
Object Detection (Q)
|
94% |
2319
184.9 IPS |
|
|
Face Detection (SP)
|
100% |
3368
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
6652
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
3906
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6944
53.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12567
97.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8840
69.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21721
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34395
44.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28493
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5104
188.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6117
225.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4428
163.5 IPS |
|
|
Text Classification (SP)
|
100% |
3053
4.08 KIPS |
|
|
Text Classification (HP)
|
99% |
5014
6.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4967
6.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3217
55.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6508
112.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6702
115.8 IPS |
