Mac16,12
Geekbench AI Score
4829
Single Precision Score
7954
Half Precision Score
6348
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 28 2025 12:51 PM |
| Views | 5 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2074
385.7 IPS |
|
|
Image Classification (HP)
|
100% |
3356
624.2 IPS |
|
|
Image Classification (Q)
|
96% |
2311
431.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2184
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3239
52.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3600
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10003
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19447
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16647
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2414
191.5 IPS |
|
|
Object Detection (HP)
|
97% |
3789
301.7 IPS |
|
|
Object Detection (Q)
|
94% |
2690
214.4 IPS |
|
|
Face Detection (SP)
|
100% |
4181
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
7468
88.7 IPS |
|
|
Face Detection (Q)
|
100% |
4290
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8585
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14579
112.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10167
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21786
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38442
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31624
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6150
227.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7260
268.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5079
187.5 IPS |
|
|
Text Classification (SP)
|
100% |
2952
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5748
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5614
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4442
76.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7250
125.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7259
125.4 IPS |
