Mac16,10
Geekbench AI Score
4740
Single Precision Score
7744
Half Precision Score
6291
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 09:32 PM |
| Views | 2 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2004
372.7 IPS |
|
|
Image Classification (HP)
|
100% |
3301
613.9 IPS |
|
|
Image Classification (Q)
|
96% |
2301
429.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2090
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3178
51.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3666
59.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9968
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18858
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16509
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2293
181.9 IPS |
|
|
Object Detection (HP)
|
97% |
3780
300.9 IPS |
|
|
Object Detection (Q)
|
94% |
2722
217.0 IPS |
|
|
Face Detection (SP)
|
100% |
3927
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
7372
87.6 IPS |
|
|
Face Detection (Q)
|
100% |
4358
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8356
64.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14620
113.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10317
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25138
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38159
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31728
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5637
208.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6859
253.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4758
175.7 IPS |
|
|
Text Classification (SP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5386
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5323
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3775
65.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6833
118.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7097
122.6 IPS |
