Mac15,12
Geekbench AI Score
9695
Single Precision Score
11273
Half Precision Score
9688
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | unixwizard |
| Upload Date | February 23 2026 11:53 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 4.02 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4760
885.3 IPS |
|
|
Image Classification (HP)
|
100% |
4983
926.7 IPS |
|
|
Image Classification (Q)
|
96% |
4665
871.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6709
108.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7320
118.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7001
113.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
23868
27.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26784
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
26010
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
4549
360.8 IPS |
|
|
Object Detection (HP)
|
100% |
5032
399.2 IPS |
|
|
Object Detection (Q)
|
91% |
4832
386.1 IPS |
|
|
Face Detection (SP)
|
100% |
12221
145.2 IPS |
|
|
Face Detection (HP)
|
100% |
16364
194.4 IPS |
|
|
Face Detection (Q)
|
100% |
15151
180.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18783
144.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
20676
159.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
19586
153.2 IPS |
|
|
Style Transfer (SP)
|
100% |
52454
67.4 IPS |
|
|
Style Transfer (HP)
|
100% |
61289
78.8 IPS |
|
|
Style Transfer (Q)
|
96% |
58757
75.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10926
403.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11250
415.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9647
356.2 IPS |
|
|
Text Classification (SP)
|
100% |
3258
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5836
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5772
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4939
85.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4952
85.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1828
31.6 IPS |
