Mac16,12
Geekbench AI Score
4984
Single Precision Score
8070
Half Precision Score
6480
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gmion |
| Upload Date | December 24 2025 04:27 PM |
| Views | 4 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2114
393.1 IPS |
|
|
Image Classification (HP)
|
100% |
3408
633.7 IPS |
|
|
Image Classification (Q)
|
96% |
2349
438.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2094
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3156
51.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3548
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10073
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19415
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16742
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2483
196.9 IPS |
|
|
Object Detection (HP)
|
97% |
3811
303.4 IPS |
|
|
Object Detection (Q)
|
94% |
2755
219.6 IPS |
|
|
Face Detection (SP)
|
100% |
4325
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
7865
93.5 IPS |
|
|
Face Detection (Q)
|
100% |
4536
53.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8627
66.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14181
109.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10015
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24537
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39005
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
32063
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6108
225.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7227
266.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4919
181.6 IPS |
|
|
Text Classification (SP)
|
100% |
3347
4.47 KIPS |
|
|
Text Classification (HP)
|
99% |
5826
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5856
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4569
78.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8042
139.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8101
140.0 IPS |
