Mac16,12
Geekbench AI Score
4449
Single Precision Score
32479
Half Precision Score
42319
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | whay |
| Upload Date | August 08 2025 04:28 AM |
| Views | 29 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 3.98 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1948
362.3 IPS |
|
|
Image Classification (HP)
|
100% |
18706
3.48 KIPS |
|
|
Image Classification (Q)
|
99% |
21740
4.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1984
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
17432
282.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
17429
282.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8729
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
117016
136.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
223712
262.4 IPS |
|
|
Object Detection (SP)
|
100% |
2322
184.2 IPS |
|
|
Object Detection (HP)
|
100% |
17396
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
26430
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3804
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
26790
318.3 IPS |
|
|
Face Detection (Q)
|
100% |
45749
543.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8131
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
81389
627.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
91214
705.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18360
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
168103
216.1 IPS |
|
|
Style Transfer (Q)
|
100% |
168589
216.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5505
203.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49610
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
86625
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
2985
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
6824
9.11 KIPS |
|
|
Text Classification (Q)
|
93% |
7530
10.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
4159
71.6 IPS |
|
|
Machine Translation (HP)
|
100% |
15860
273.2 IPS |
|
|
Machine Translation (Q)
|
98% |
17920
309.7 IPS |
