Mac15,12
Geekbench AI Score
4006
Single Precision Score
7065
Half Precision Score
5714
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | iantm |
| Upload Date | November 28 2025 03:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1518
282.4 IPS |
|
|
Image Classification (HP)
|
100% |
2966
551.6 IPS |
|
|
Image Classification (Q)
|
96% |
2082
388.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1812
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2940
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3220
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8340
9.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
17513
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15083
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1711
135.7 IPS |
|
|
Object Detection (HP)
|
97% |
3203
255.0 IPS |
|
|
Object Detection (Q)
|
94% |
2324
185.2 IPS |
|
|
Face Detection (SP)
|
100% |
3442
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
6779
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
3978
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7071
54.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12779
98.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9035
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21929
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33740
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28076
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4983
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6095
225.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4455
164.5 IPS |
|
|
Text Classification (SP)
|
100% |
3163
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
5344
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5338
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3230
55.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6654
115.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6584
113.8 IPS |
