Mac16,12
Geekbench AI Score
4850
Single Precision Score
36203
Half Precision Score
51411
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | StanH |
| Upload Date | August 22 2025 12:01 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5338b) |
| 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% |
2042
379.8 IPS |
|
|
Image Classification (HP)
|
100% |
16999
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
25252
4.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2035
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22200
359.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30548
495.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9898
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122659
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
231491
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
2383
189.0 IPS |
|
|
Object Detection (HP)
|
100% |
17978
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25939
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4175
49.6 IPS |
|
|
Face Detection (HP)
|
100% |
42974
510.6 IPS |
|
|
Face Detection (Q)
|
100% |
62946
747.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8421
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99653
767.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
165964
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24180
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
234372
301.3 IPS |
|
|
Style Transfer (Q)
|
96% |
323149
417.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5977
220.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51899
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83346
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3237
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5513
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5465
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4475
77.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16188
278.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18112
313.0 IPS |
