Mac16,12
Geekbench AI Score
4896
Single Precision Score
7970
Half Precision Score
6917
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | January 27 2026 03:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2104
391.3 IPS |
|
|
Image Classification (HP)
|
100% |
3379
628.3 IPS |
|
|
Image Classification (Q)
|
99% |
3358
626.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2049
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3135
50.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
3140
50.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9828
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19273
22.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
16288
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2465
195.5 IPS |
|
|
Object Detection (HP)
|
97% |
3767
299.9 IPS |
|
|
Object Detection (Q)
|
94% |
2722
217.0 IPS |
|
|
Face Detection (SP)
|
100% |
4252
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
7678
91.2 IPS |
|
|
Face Detection (Q)
|
100% |
4414
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8542
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14093
108.9 IPS |
|
|
Depth Estimation (Q)
|
96% |
14048
108.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23984
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38825
49.9 IPS |
|
|
Style Transfer (Q)
|
100% |
38834
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5987
221.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7144
263.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4875
180.6 IPS |
|
|
Text Classification (SP)
|
100% |
3255
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5782
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5956
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
4472
77.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7749
133.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7681
132.7 IPS |
