Mac15,13
Geekbench AI Score
4079
Single Precision Score
6984
Half Precision Score
5656
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | September 08 2025 03:51 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5351b) |
| 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% |
1545
287.4 IPS |
|
|
Image Classification (HP)
|
100% |
2952
549.1 IPS |
|
|
Image Classification (Q)
|
96% |
2017
376.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1837
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2839
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3149
51.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8744
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17383
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14989
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1803
143.0 IPS |
|
|
Object Detection (HP)
|
97% |
3165
251.9 IPS |
|
|
Object Detection (Q)
|
94% |
2304
183.6 IPS |
|
|
Face Detection (SP)
|
100% |
3447
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
6718
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
3933
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7059
54.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12547
97.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8901
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21925
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34119
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28147
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5155
190.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6112
225.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4465
164.9 IPS |
|
|
Text Classification (SP)
|
100% |
3226
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5317
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5364
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3215
55.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6414
110.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6474
111.9 IPS |
