Mac16,12
Geekbench AI Score
4705
Single Precision Score
7780
Half Precision Score
6280
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | anthonynelzin |
| Upload Date | March 12 2025 02:14 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2010
373.8 IPS |
|
|
Image Classification (HP)
|
100% |
3293
612.4 IPS |
|
|
Image Classification (Q)
|
96% |
2313
432.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3208
52.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3637
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9939
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19083
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16487
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2271
180.1 IPS |
|
|
Object Detection (HP)
|
97% |
3716
295.9 IPS |
|
|
Object Detection (Q)
|
94% |
2677
213.4 IPS |
|
|
Face Detection (SP)
|
100% |
3886
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
7456
88.6 IPS |
|
|
Face Detection (Q)
|
100% |
4380
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8305
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14629
113.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10181
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25281
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38205
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31613
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5897
217.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6846
252.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4821
178.0 IPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5526
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5472
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3938
67.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6881
118.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6919
119.6 IPS |
