Mac16,10
Geekbench AI Score
4733
Single Precision Score
7830
Half Precision Score
6312
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 07:53 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2049
381.0 IPS |
|
|
Image Classification (HP)
|
100% |
3282
610.3 IPS |
|
|
Image Classification (Q)
|
96% |
2314
432.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3199
51.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3657
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10042
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19043
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16573
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2288
181.5 IPS |
|
|
Object Detection (HP)
|
97% |
3824
304.4 IPS |
|
|
Object Detection (Q)
|
94% |
2738
218.2 IPS |
|
|
Face Detection (SP)
|
100% |
3960
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
7632
90.7 IPS |
|
|
Face Detection (Q)
|
100% |
4438
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8347
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14787
114.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10324
80.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25394
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38514
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31952
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5819
214.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6834
252.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4779
176.4 IPS |
|
|
Text Classification (SP)
|
100% |
3004
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5349
7.14 KIPS |
|
|
Text Classification (Q)
|
93% |
5401
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3880
66.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7134
123.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6929
119.7 IPS |
