Mac16,12
Geekbench AI Score
4603
Single Precision Score
36228
Half Precision Score
50943
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 11 2025 10:10 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5327h) |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2021
375.8 IPS |
|
|
Image Classification (HP)
|
100% |
16967
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
23288
4.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1924
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22057
357.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30506
494.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9149
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122838
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231824
271.7 IPS |
|
|
Object Detection (SP)
|
100% |
2307
183.0 IPS |
|
|
Object Detection (HP)
|
100% |
19056
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
25959
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4060
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
43955
522.3 IPS |
|
|
Face Detection (Q)
|
100% |
63284
752.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7905
60.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98783
761.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
168864
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21753
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
232270
298.6 IPS |
|
|
Style Transfer (Q)
|
96% |
317970
410.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5625
207.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51968
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87830
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3245
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5643
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5806
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4089
70.4 IPS |
|
|
Machine Translation (HP)
|
100% |
15032
258.9 IPS |
|
|
Machine Translation (Q)
|
98% |
15891
274.6 IPS |
