Mac15,12
Geekbench AI Score
3946
Single Precision Score
7059
Half Precision Score
5691
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Jzwift |
| Upload Date | March 27 2026 03:44 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (a) (Build 25D771280a) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1458
271.1 IPS |
|
|
Image Classification (HP)
|
100% |
2976
553.5 IPS |
|
|
Image Classification (Q)
|
96% |
2082
388.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1733
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2860
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3184
51.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8251
9.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
17340
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15049
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1703
135.1 IPS |
|
|
Object Detection (HP)
|
97% |
3195
254.4 IPS |
|
|
Object Detection (Q)
|
94% |
2320
184.9 IPS |
|
|
Face Detection (SP)
|
100% |
3354
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
6536
77.7 IPS |
|
|
Face Detection (Q)
|
100% |
3957
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6872
52.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12743
98.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9042
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22007
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33855
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28161
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4844
178.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6107
225.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4443
164.1 IPS |
|
|
Text Classification (SP)
|
100% |
3238
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5641
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5599
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3243
55.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6715
116.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6153
106.3 IPS |
