Mac15,12
Geekbench AI Score
7587
Single Precision Score
8978
Half Precision Score
8331
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | mgoksoy |
| Upload Date | October 23 2025 01:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.04 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3702
688.5 IPS |
|
|
Image Classification (HP)
|
100% |
4081
759.0 IPS |
|
|
Image Classification (Q)
|
96% |
3594
671.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5793
93.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6274
101.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6091
98.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
21483
25.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
24385
28.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
23664
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
3822
303.2 IPS |
|
|
Object Detection (HP)
|
100% |
4159
329.9 IPS |
|
|
Object Detection (Q)
|
92% |
3870
308.9 IPS |
|
|
Face Detection (SP)
|
100% |
10093
119.9 IPS |
|
|
Face Detection (HP)
|
100% |
13442
159.7 IPS |
|
|
Face Detection (Q)
|
100% |
10867
129.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16076
123.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17989
138.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
16731
130.7 IPS |
|
|
Style Transfer (SP)
|
100% |
44789
57.6 IPS |
|
|
Style Transfer (HP)
|
100% |
53919
69.3 IPS |
|
|
Style Transfer (Q)
|
96% |
52265
67.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9307
343.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9446
348.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8481
313.2 IPS |
|
|
Text Classification (SP)
|
100% |
3223
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5590
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5548
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1647
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1905
32.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1797
31.1 IPS |
