Mac16,12
Geekbench AI Score
4826
Single Precision Score
7893
Half Precision Score
6344
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mantis30pl |
| Upload Date | April 15 2025 02:00 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2108
391.9 IPS |
|
|
Image Classification (HP)
|
100% |
3310
615.5 IPS |
|
|
Image Classification (Q)
|
96% |
2331
435.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3164
51.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3597
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9995
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19455
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16615
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2460
195.1 IPS |
|
|
Object Detection (HP)
|
97% |
3755
299.0 IPS |
|
|
Object Detection (Q)
|
94% |
2691
214.5 IPS |
|
|
Face Detection (SP)
|
100% |
4271
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
7538
89.6 IPS |
|
|
Face Detection (Q)
|
100% |
4412
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8609
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14604
112.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10225
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21605
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38348
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31814
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6149
227.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7154
264.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4992
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5706
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5499
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4376
75.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7124
123.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7154
123.6 IPS |
