Mac16,12
Geekbench AI Score
4807
Single Precision Score
36414
Half Precision Score
51470
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | StanH |
| Upload Date | August 15 2025 02:50 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5327h) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2035
378.4 IPS |
|
|
Image Classification (HP)
|
100% |
17066
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
25185
4.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2019
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22241
360.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30650
496.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9889
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122596
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232208
272.2 IPS |
|
|
Object Detection (SP)
|
100% |
2388
189.4 IPS |
|
|
Object Detection (HP)
|
100% |
18966
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
25597
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
3985
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
43625
518.4 IPS |
|
|
Face Detection (Q)
|
100% |
61994
736.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8427
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99882
769.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
170673
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
23649
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
231270
297.3 IPS |
|
|
Style Transfer (Q)
|
96% |
321246
414.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5989
221.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51767
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83029
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3189
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5454
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5506
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4483
77.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16327
281.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18302
316.3 IPS |
