Mac16,10
Geekbench AI Score
4743
Single Precision Score
7830
Half Precision Score
6318
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | AlClout |
| Upload Date | November 14 2024 07:02 PM |
| Views | 10 |
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% |
2047
380.6 IPS |
|
|
Image Classification (HP)
|
100% |
3289
611.6 IPS |
|
|
Image Classification (Q)
|
96% |
2316
432.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3218
52.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3677
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10032
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19035
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16582
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2304
182.7 IPS |
|
|
Object Detection (HP)
|
97% |
3809
303.3 IPS |
|
|
Object Detection (Q)
|
94% |
2751
219.3 IPS |
|
|
Face Detection (SP)
|
100% |
3992
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
7581
90.1 IPS |
|
|
Face Detection (Q)
|
100% |
4476
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8448
65.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14849
114.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10396
81.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25476
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38568
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32102
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5768
213.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6850
252.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4782
176.6 IPS |
|
|
Text Classification (SP)
|
100% |
2975
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5539
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5304
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3895
67.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6860
118.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6890
119.1 IPS |
