Mac15,13
Geekbench AI Score
8978
Single Precision Score
9815
Half Precision Score
9589
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | May 17 2025 01:19 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
4326
804.5 IPS |
|
|
Image Classification (HP)
|
100% |
4708
875.6 IPS |
|
|
Image Classification (Q)
|
96% |
4395
820.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6478
105.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6996
113.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6727
109.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
25190
29.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
26232
30.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
25977
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
4933
391.3 IPS |
|
|
Object Detection (Q)
|
92% |
4493
358.7 IPS |
|
|
Face Detection (SP)
|
100% |
11768
139.8 IPS |
|
|
Face Detection (HP)
|
100% |
15377
182.7 IPS |
|
|
Face Detection (Q)
|
100% |
12322
146.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19040
146.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
20267
156.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
18712
146.2 IPS |
|
|
Style Transfer (SP)
|
100% |
52338
67.3 IPS |
|
|
Style Transfer (HP)
|
100% |
59790
76.9 IPS |
|
|
Style Transfer (Q)
|
96% |
58077
74.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10988
405.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10923
403.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9592
354.2 IPS |
|
|
Text Classification (SP)
|
100% |
3006
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5466
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5383
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2829
48.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1750
30.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2757
47.6 IPS |
