Mac15,12
Geekbench AI Score
8450
Single Precision Score
9776
Half Precision Score
9101
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 18 2025 03:30 PM |
| Views | 3 |
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 | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4253
790.9 IPS |
|
|
Image Classification (HP)
|
100% |
4625
860.2 IPS |
|
|
Image Classification (Q)
|
96% |
4174
779.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6476
105.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7072
114.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7018
113.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
23810
27.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26701
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
26106
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
4380
347.4 IPS |
|
|
Object Detection (HP)
|
100% |
4813
381.8 IPS |
|
|
Object Detection (Q)
|
92% |
4462
356.2 IPS |
|
|
Face Detection (SP)
|
100% |
11869
141.0 IPS |
|
|
Face Detection (HP)
|
100% |
15483
184.0 IPS |
|
|
Face Detection (Q)
|
100% |
12419
147.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18490
142.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
20353
156.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
18518
144.6 IPS |
|
|
Style Transfer (SP)
|
100% |
50245
64.6 IPS |
|
|
Style Transfer (HP)
|
100% |
60212
77.4 IPS |
|
|
Style Transfer (Q)
|
96% |
58259
75.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10494
387.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10719
395.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9295
343.2 IPS |
|
|
Text Classification (SP)
|
100% |
3144
4.20 KIPS |
|
|
Text Classification (HP)
|
99% |
5340
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5267
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1778
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1747
30.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1743
30.1 IPS |
