Mac16,10
Geekbench AI Score
4703
Single Precision Score
7776
Half Precision Score
6329
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | mtx_1 |
| Upload Date | November 11 2024 08:40 AM |
| Views | 14 |
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% |
2047
380.7 IPS |
|
|
Image Classification (HP)
|
100% |
3303
614.2 IPS |
|
|
Image Classification (Q)
|
96% |
2332
435.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3236
52.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3656
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10023
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18948
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16545
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2227
176.7 IPS |
|
|
Object Detection (HP)
|
97% |
3744
298.1 IPS |
|
|
Object Detection (Q)
|
94% |
2736
218.1 IPS |
|
|
Face Detection (SP)
|
100% |
3868
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
7139
84.8 IPS |
|
|
Face Detection (Q)
|
100% |
4397
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8375
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14790
114.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10333
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25423
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38523
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31989
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5659
209.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6704
247.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4786
176.7 IPS |
|
|
Text Classification (SP)
|
100% |
3047
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
5643
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5389
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3892
67.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6929
119.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7136
123.3 IPS |
