Mac15,12
Geekbench AI Score
4020
Single Precision Score
7134
Half Precision Score
5774
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | chonaso |
| Upload Date | March 13 2026 02:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac15,12 |
| Model ID | Mac15,12 |
| Motherboard | Mac15,12 |
| 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% |
1520
282.6 IPS |
|
|
Image Classification (HP)
|
100% |
2981
554.3 IPS |
|
|
Image Classification (Q)
|
96% |
2084
389.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1814
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2944
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3253
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8394
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
17517
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15066
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1719
136.4 IPS |
|
|
Object Detection (HP)
|
97% |
3237
257.7 IPS |
|
|
Object Detection (Q)
|
94% |
2357
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
3422
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
6817
81.0 IPS |
|
|
Face Detection (Q)
|
100% |
3997
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6962
53.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12752
98.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9015
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22032
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33881
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28153
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4982
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6127
226.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4472
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5611
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5602
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3250
56.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6782
117.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6743
116.5 IPS |
