Mac15,12
Geekbench AI Score
8669
Single Precision Score
9757
Half Precision Score
9074
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | iantm |
| Upload Date | December 03 2025 11:08 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4270
794.1 IPS |
|
|
Image Classification (HP)
|
100% |
4664
867.4 IPS |
|
|
Image Classification (Q)
|
96% |
4173
779.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6484
105.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7014
113.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6753
109.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
23818
27.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26662
31.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
26036
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
4377
347.2 IPS |
|
|
Object Detection (HP)
|
100% |
4790
379.9 IPS |
|
|
Object Detection (Q)
|
92% |
4465
356.4 IPS |
|
|
Face Detection (SP)
|
100% |
11837
140.6 IPS |
|
|
Face Detection (HP)
|
100% |
15373
182.7 IPS |
|
|
Face Detection (Q)
|
100% |
12380
147.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18526
142.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
20206
155.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
18506
144.5 IPS |
|
|
Style Transfer (SP)
|
100% |
51554
66.3 IPS |
|
|
Style Transfer (HP)
|
100% |
60000
77.1 IPS |
|
|
Style Transfer (Q)
|
96% |
58257
75.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10654
393.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10736
396.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9312
343.8 IPS |
|
|
Text Classification (SP)
|
100% |
3093
4.13 KIPS |
|
|
Text Classification (HP)
|
99% |
5345
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5356
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2230
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1751
30.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1736
30.0 IPS |
