Mac16,12
Geekbench AI Score
4818
Single Precision Score
7885
Half Precision Score
6334
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | andriyfedorov |
| Upload Date | April 10 2025 12:28 PM |
| Views | 7 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2074
385.7 IPS |
|
|
Image Classification (HP)
|
100% |
3330
619.3 IPS |
|
|
Image Classification (Q)
|
96% |
2323
433.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2167
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3208
52.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3601
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10019
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19472
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16654
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2421
192.1 IPS |
|
|
Object Detection (HP)
|
97% |
3793
302.0 IPS |
|
|
Object Detection (Q)
|
94% |
2684
214.0 IPS |
|
|
Face Detection (SP)
|
100% |
4144
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
7702
91.5 IPS |
|
|
Face Detection (Q)
|
100% |
4320
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8600
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14590
112.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10179
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21750
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38428
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31563
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6127
226.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7148
264.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5036
186.0 IPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5345
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5551
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4413
76.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7138
123.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7175
124.0 IPS |
