Mac15,13
Geekbench AI Score
3802
Single Precision Score
6614
Half Precision Score
5375
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | rismay |
| Upload Date | April 05 2025 08:08 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5042g) |
| 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% |
1508
280.4 IPS |
|
|
Image Classification (HP)
|
100% |
2704
502.8 IPS |
|
|
Image Classification (Q)
|
96% |
1989
371.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1733
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2602
42.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3131
50.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8074
9.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
17133
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14671
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1707
135.4 IPS |
|
|
Object Detection (HP)
|
97% |
3099
246.7 IPS |
|
|
Object Detection (Q)
|
94% |
2264
180.5 IPS |
|
|
Face Detection (SP)
|
100% |
3021
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5692
67.6 IPS |
|
|
Face Detection (Q)
|
100% |
3729
44.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6641
51.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12500
96.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8763
68.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21633
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33809
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
26891
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4640
171.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5959
220.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3836
141.7 IPS |
|
|
Text Classification (SP)
|
100% |
2905
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5219
6.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5124
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2998
51.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5733
99.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5639
97.4 IPS |
