Mac16,12
Geekbench AI Score
4665
Single Precision Score
36988
Half Precision Score
51945
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 25 2025 10:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
2057
382.5 IPS |
|
|
Image Classification (HP)
|
100% |
18344
3.41 KIPS |
|
|
Image Classification (Q)
|
97% |
25417
4.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2023
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22154
359.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30449
493.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9293
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122561
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231616
271.5 IPS |
|
|
Object Detection (SP)
|
100% |
2334
185.1 IPS |
|
|
Object Detection (HP)
|
100% |
18458
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26074
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3850
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
43875
521.3 IPS |
|
|
Face Detection (Q)
|
100% |
63499
754.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8083
62.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98752
760.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
168778
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
20030
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232303
298.6 IPS |
|
|
Style Transfer (Q)
|
96% |
321992
415.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5741
212.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52143
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87837
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3356
4.48 KIPS |
|
|
Text Classification (HP)
|
99% |
5852
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5760
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4511
77.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16976
292.4 IPS |
|
|
Machine Translation (Q)
|
98% |
17530
302.9 IPS |
