Mac16,12
Geekbench AI Score
4689
Single Precision Score
7759
Half Precision Score
6233
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | andrewtch |
| Upload Date | March 24 2025 01:55 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D2059) |
| 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% |
1962
364.9 IPS |
|
|
Image Classification (HP)
|
100% |
3301
614.0 IPS |
|
|
Image Classification (Q)
|
96% |
2301
429.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2079
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3227
52.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3577
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9859
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19074
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16445
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2241
177.8 IPS |
|
|
Object Detection (HP)
|
97% |
3736
297.4 IPS |
|
|
Object Detection (Q)
|
94% |
2658
211.9 IPS |
|
|
Face Detection (SP)
|
100% |
3821
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
7321
87.0 IPS |
|
|
Face Detection (Q)
|
100% |
4274
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8281
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14488
112.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10114
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25092
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38134
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31487
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5861
216.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6863
253.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4846
178.9 IPS |
|
|
Text Classification (SP)
|
100% |
3138
4.19 KIPS |
|
|
Text Classification (HP)
|
100% |
5488
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5467
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3905
67.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6841
118.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6831
118.1 IPS |
