Mac16,12
Geekbench AI Score
4797
Single Precision Score
7913
Half Precision Score
6318
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | CrazyAndyLUX |
| Upload Date | May 19 2025 10:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2060
383.1 IPS |
|
|
Image Classification (HP)
|
100% |
3326
618.6 IPS |
|
|
Image Classification (Q)
|
96% |
2298
429.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3147
51.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3571
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10020
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19510
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16655
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2408
191.0 IPS |
|
|
Object Detection (HP)
|
97% |
3780
300.9 IPS |
|
|
Object Detection (Q)
|
94% |
2685
214.0 IPS |
|
|
Face Detection (SP)
|
100% |
4227
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
7488
89.0 IPS |
|
|
Face Detection (Q)
|
100% |
4323
51.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8589
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14572
112.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10177
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21766
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38552
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31664
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6141
226.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7152
264.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5043
186.2 IPS |
|
|
Text Classification (SP)
|
100% |
2894
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5627
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5412
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
4348
74.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7374
127.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7266
125.6 IPS |
