Mac16,12
Geekbench AI Score
4471
Single Precision Score
35131
Half Precision Score
49812
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 17 2025 12:19 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | Mac16,12 |
| Model ID | Mac16,12 |
| Motherboard | Mac16,12 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2010
373.9 IPS |
|
|
Image Classification (HP)
|
100% |
17065
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
24641
4.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1995
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20909
339.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
27805
450.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7588
8.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
119965
140.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
228421
267.7 IPS |
|
|
Object Detection (SP)
|
100% |
2353
186.6 IPS |
|
|
Object Detection (HP)
|
100% |
17745
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
26682
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3982
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
42646
506.7 IPS |
|
|
Face Detection (Q)
|
100% |
61321
728.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7333
56.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
93180
717.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
152853
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
17895
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
222852
286.5 IPS |
|
|
Style Transfer (Q)
|
96% |
305862
394.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5509
203.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48135
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82199
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3725
4.97 KIPS |
|
|
Text Classification (HP)
|
99% |
6354
8.48 KIPS |
|
|
Text Classification (Q)
|
93% |
6304
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4159
71.6 IPS |
|
|
Machine Translation (HP)
|
100% |
13923
239.8 IPS |
|
|
Machine Translation (Q)
|
98% |
15163
262.0 IPS |
