Mac16,12
Geekbench AI Score
4718
Single Precision Score
7714
Half Precision Score
6226
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 07 2025 03:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2077
386.3 IPS |
|
|
Image Classification (HP)
|
100% |
3365
625.7 IPS |
|
|
Image Classification (Q)
|
96% |
2316
432.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1991
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2960
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3421
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9262
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18971
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16296
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2361
187.3 IPS |
|
|
Object Detection (HP)
|
97% |
3696
294.3 IPS |
|
|
Object Detection (Q)
|
94% |
2623
209.1 IPS |
|
|
Face Detection (SP)
|
100% |
3924
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
7018
83.4 IPS |
|
|
Face Detection (Q)
|
100% |
4199
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8202
63.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13763
106.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9655
75.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22105
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38167
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31311
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5857
216.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7076
261.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4952
182.8 IPS |
|
|
Text Classification (SP)
|
100% |
3344
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5780
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5757
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4338
74.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7094
122.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7152
123.6 IPS |
