Mac16,12
Geekbench AI Score
4979
Single Precision Score
8029
Half Precision Score
6448
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 17 2025 09:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2129
395.9 IPS |
|
|
Image Classification (HP)
|
100% |
3357
624.3 IPS |
|
|
Image Classification (Q)
|
96% |
2346
438.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3152
51.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3564
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10111
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19494
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16673
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2451
194.4 IPS |
|
|
Object Detection (HP)
|
97% |
3797
302.3 IPS |
|
|
Object Detection (Q)
|
94% |
2710
216.0 IPS |
|
|
Face Detection (SP)
|
100% |
4320
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
7759
92.2 IPS |
|
|
Face Detection (Q)
|
100% |
4451
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8490
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14054
108.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9940
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24451
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38757
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31842
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6115
225.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7180
265.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4985
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
3361
4.49 KIPS |
|
|
Text Classification (HP)
|
99% |
5791
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5775
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4581
78.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8096
139.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8113
140.2 IPS |
