Mac16,2
Geekbench AI Score
4715
Single Precision Score
7784
Half Precision Score
6308
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 21 2024 07:14 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac16,2 |
| Model ID | Mac16,2 |
| Motherboard | Mac16,2 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2006
373.0 IPS |
|
|
Image Classification (HP)
|
100% |
3286
611.1 IPS |
|
|
Image Classification (Q)
|
96% |
2313
431.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2069
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3174
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3602
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9882
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19002
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16513
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2289
181.6 IPS |
|
|
Object Detection (HP)
|
97% |
3795
302.1 IPS |
|
|
Object Detection (Q)
|
94% |
2730
217.6 IPS |
|
|
Face Detection (SP)
|
100% |
3928
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
7469
88.7 IPS |
|
|
Face Detection (Q)
|
100% |
4418
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8343
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14766
114.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10254
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25194
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38289
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31815
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5892
217.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6865
253.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4779
176.5 IPS |
|
|
Text Classification (SP)
|
100% |
3027
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5388
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5524
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3929
67.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6960
120.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6991
120.8 IPS |
