Mac15,12
Geekbench AI Score
4017
Single Precision Score
30131
Half Precision Score
33751
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | iantm |
| Upload Date | December 03 2025 11:11 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1526
283.8 IPS |
|
|
Image Classification (HP)
|
100% |
15207
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
17738
3.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1830
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21846
354.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
26814
434.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8349
9.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
120812
141.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
120863
141.7 IPS |
|
|
Object Detection (SP)
|
100% |
1714
135.9 IPS |
|
|
Object Detection (HP)
|
100% |
17454
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
20275
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3490
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
39609
470.6 IPS |
|
|
Face Detection (Q)
|
100% |
51966
617.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7068
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
93226
718.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
116447
910.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21854
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
225970
290.5 IPS |
|
|
Style Transfer (Q)
|
96% |
218283
281.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4988
184.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43869
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49387
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
3111
4.15 KIPS |
|
|
Text Classification (HP)
|
99% |
5294
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5329
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3274
56.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4545
78.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4734
81.8 IPS |
