Mac16,12
Geekbench AI Score
4832
Single Precision Score
36558
Half Precision Score
51923
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 14 2025 01:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2102
390.9 IPS |
|
|
Image Classification (HP)
|
100% |
17374
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
25273
4.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22173
359.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30285
490.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10034
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122672
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232079
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2456
194.8 IPS |
|
|
Object Detection (HP)
|
100% |
18250
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25841
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4203
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
43927
522.0 IPS |
|
|
Face Detection (Q)
|
100% |
63974
760.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8629
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99003
762.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
167570
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21855
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
233310
299.9 IPS |
|
|
Style Transfer (Q)
|
96% |
295196
380.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6149
227.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49554
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83049
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2897
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5913
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
6459
8.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4395
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16632
286.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18281
315.9 IPS |
