Mac15,12
Geekbench AI Score
9546
Single Precision Score
11256
Half Precision Score
10007
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | AlexSwitch |
| Upload Date | March 06 2026 05:46 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4713
876.6 IPS |
|
|
Image Classification (HP)
|
100% |
4956
921.6 IPS |
|
|
Image Classification (Q)
|
96% |
4628
864.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6682
108.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7251
117.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6934
112.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
23814
27.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26730
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
26059
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
4469
354.5 IPS |
|
|
Object Detection (HP)
|
100% |
4967
394.0 IPS |
|
|
Object Detection (Q)
|
91% |
4842
387.0 IPS |
|
|
Face Detection (SP)
|
100% |
12213
145.1 IPS |
|
|
Face Detection (HP)
|
100% |
16276
193.4 IPS |
|
|
Face Detection (Q)
|
100% |
15175
180.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17920
138.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
20351
156.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
19326
151.2 IPS |
|
|
Style Transfer (SP)
|
100% |
49866
64.1 IPS |
|
|
Style Transfer (HP)
|
100% |
60637
77.9 IPS |
|
|
Style Transfer (Q)
|
96% |
58374
75.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10551
389.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10668
393.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9406
347.3 IPS |
|
|
Text Classification (SP)
|
100% |
3195
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5623
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5593
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5097
87.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5683
97.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2763
47.8 IPS |
