Mac16,12
Geekbench AI Score
4788
Single Precision Score
7883
Half Precision Score
6329
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 12 2025 03:29 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2049
381.1 IPS |
|
|
Image Classification (HP)
|
100% |
3361
625.0 IPS |
|
|
Image Classification (Q)
|
96% |
2278
425.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3103
50.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3531
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9899
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19449
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16587
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2410
191.2 IPS |
|
|
Object Detection (HP)
|
97% |
3770
300.1 IPS |
|
|
Object Detection (Q)
|
94% |
2673
213.1 IPS |
|
|
Face Detection (SP)
|
100% |
4123
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
7437
88.4 IPS |
|
|
Face Detection (Q)
|
100% |
4276
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8566
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14489
112.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10095
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21302
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38465
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31581
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6087
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7285
269.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5104
188.5 IPS |
|
|
Text Classification (SP)
|
100% |
3058
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
5519
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5664
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4387
75.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7274
125.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7339
126.8 IPS |
