Mac16,12
Geekbench AI Score
4670
Single Precision Score
7750
Half Precision Score
6260
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | aenewton |
| Upload Date | March 20 2025 02:36 AM |
| Views | 14 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1984
368.9 IPS |
|
|
Image Classification (HP)
|
100% |
3299
613.5 IPS |
|
|
Image Classification (Q)
|
96% |
2306
430.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2077
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3186
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3589
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9880
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19061
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16451
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2249
178.4 IPS |
|
|
Object Detection (HP)
|
97% |
3749
298.5 IPS |
|
|
Object Detection (Q)
|
94% |
2673
213.1 IPS |
|
|
Face Detection (SP)
|
100% |
3764
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
7000
83.2 IPS |
|
|
Face Detection (Q)
|
100% |
4333
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8271
63.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14529
112.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10129
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25129
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38156
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31491
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5853
216.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6857
253.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4844
178.8 IPS |
|
|
Text Classification (SP)
|
100% |
3005
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5669
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5543
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3923
67.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6903
119.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6849
118.4 IPS |
