Mac16,12
Geekbench AI Score
4975
Single Precision Score
36150
Half Precision Score
50918
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gmion |
| Upload Date | December 24 2025 10:34 PM |
| Views | 11 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2104
391.4 IPS |
|
|
Image Classification (HP)
|
100% |
17603
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
24819
4.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21638
350.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30690
497.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10078
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122392
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
231763
271.6 IPS |
|
|
Object Detection (SP)
|
100% |
2472
196.1 IPS |
|
|
Object Detection (HP)
|
100% |
17697
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25819
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4397
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
43184
513.1 IPS |
|
|
Face Detection (Q)
|
100% |
59587
708.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8675
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99415
765.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
163008
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24636
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
228169
293.3 IPS |
|
|
Style Transfer (Q)
|
96% |
317829
410.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6043
223.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51262
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82803
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3258
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5585
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5513
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4553
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16475
283.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18238
315.2 IPS |
