Mac15,12
Geekbench AI Score
4005
Single Precision Score
30835
Half Precision Score
34375
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | iantm |
| Upload Date | January 23 2026 10:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5101c) |
| 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% |
1515
281.7 IPS |
|
|
Image Classification (HP)
|
100% |
15999
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
18597
3.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1810
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22212
360.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
26755
433.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8387
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
120752
140.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
120551
141.3 IPS |
|
|
Object Detection (SP)
|
100% |
1712
135.8 IPS |
|
|
Object Detection (HP)
|
100% |
17545
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
20172
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
3481
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
39312
467.1 IPS |
|
|
Face Detection (Q)
|
100% |
51678
614.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7040
54.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
97551
751.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
121664
951.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21907
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
228795
294.1 IPS |
|
|
Style Transfer (Q)
|
96% |
220187
284.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4984
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48092
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54912
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3119
4.16 KIPS |
|
|
Text Classification (HP)
|
99% |
5381
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5283
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3235
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4546
78.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4742
82.0 IPS |
