Mac16,10
Geekbench AI Score
4743
Single Precision Score
7806
Half Precision Score
6332
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | hawie |
| Upload Date | December 14 2024 06:18 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac16,10 |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| 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% |
2030
377.5 IPS |
|
|
Image Classification (HP)
|
100% |
3279
609.8 IPS |
|
|
Image Classification (Q)
|
96% |
2319
433.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2101
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3163
51.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3630
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10065
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19042
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16596
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2302
182.6 IPS |
|
|
Object Detection (HP)
|
97% |
3813
303.6 IPS |
|
|
Object Detection (Q)
|
94% |
2748
219.0 IPS |
|
|
Face Detection (SP)
|
100% |
3980
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
7609
90.4 IPS |
|
|
Face Detection (Q)
|
100% |
4445
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8383
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14823
114.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10364
80.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25391
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38515
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31995
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5790
213.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6858
253.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4784
176.7 IPS |
|
|
Text Classification (SP)
|
100% |
3013
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5362
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5542
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3951
68.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6989
120.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6915
119.5 IPS |
