Mac16,12
Geekbench AI Score
4753
Single Precision Score
36529
Half Precision Score
52656
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | March 12 2025 08:44 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5228e) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2078
386.4 IPS |
|
|
Image Classification (HP)
|
100% |
17831
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
27857
5.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21910
355.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
29722
481.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9659
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
123145
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
230175
269.8 IPS |
|
|
Object Detection (SP)
|
100% |
2440
193.5 IPS |
|
|
Object Detection (HP)
|
100% |
18187
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25834
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4155
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
42851
509.2 IPS |
|
|
Face Detection (Q)
|
100% |
62008
736.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8584
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99249
764.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
167977
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21547
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232652
299.1 IPS |
|
|
Style Transfer (Q)
|
96% |
300728
388.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5953
219.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49230
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
89359
3.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2866
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
6102
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6582
8.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4304
74.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16270
280.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18068
312.2 IPS |
