Mac15,12
Geekbench AI Score
8320
Single Precision Score
9737
Half Precision Score
9381
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | iantm |
| Upload Date | November 28 2025 03:15 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4252
790.7 IPS |
|
|
Image Classification (HP)
|
100% |
4654
865.6 IPS |
|
|
Image Classification (Q)
|
96% |
4154
775.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6490
105.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7023
113.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6751
109.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
23750
27.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26599
31.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
26058
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
4340
344.2 IPS |
|
|
Object Detection (HP)
|
100% |
4783
379.4 IPS |
|
|
Object Detection (Q)
|
92% |
4460
356.0 IPS |
|
|
Face Detection (SP)
|
100% |
11624
138.1 IPS |
|
|
Face Detection (HP)
|
100% |
15511
184.3 IPS |
|
|
Face Detection (Q)
|
100% |
12356
146.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18447
142.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
20087
154.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
18512
144.6 IPS |
|
|
Style Transfer (SP)
|
100% |
49626
63.8 IPS |
|
|
Style Transfer (HP)
|
100% |
60234
77.4 IPS |
|
|
Style Transfer (Q)
|
96% |
58216
75.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10629
392.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10654
393.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9270
342.3 IPS |
|
|
Text Classification (SP)
|
100% |
3147
4.20 KIPS |
|
|
Text Classification (HP)
|
99% |
5329
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5312
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1570
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1729
29.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2471
42.7 IPS |
