Mac16,12
Geekbench AI Score
4611
Single Precision Score
7709
Half Precision Score
6188
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | XiaoliMEMZ |
| Upload Date | August 11 2025 04:33 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C2101) |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1941
361.0 IPS |
|
|
Image Classification (HP)
|
100% |
3261
606.4 IPS |
|
|
Image Classification (Q)
|
96% |
2284
426.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2051
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3199
51.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3554
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9768
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18864
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16306
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2216
175.8 IPS |
|
|
Object Detection (HP)
|
97% |
3713
295.6 IPS |
|
|
Object Detection (Q)
|
94% |
2638
210.3 IPS |
|
|
Face Detection (SP)
|
100% |
3793
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
7155
85.0 IPS |
|
|
Face Detection (Q)
|
100% |
4202
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8155
62.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14447
111.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10066
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24497
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37899
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31130
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5738
211.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6873
253.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4846
179.0 IPS |
|
|
Text Classification (SP)
|
100% |
3009
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5712
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5579
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3857
66.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6604
114.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6625
114.5 IPS |
