MacBook (Early 2016)
Geekbench AI Score
221
Single Precision Score
179
Half Precision Score
156
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | vassk |
| Upload Date | August 16 2024 09:45 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core m3-6Y30 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook (Early 2016) |
| Model ID | MacBook9,1 |
| Motherboard | Apple Inc. Mac-9AE82516C7C6B903 MacBook9,1 |
| CPU Information | |
|---|---|
| Name | Intel Core m3-6Y30 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 78 Stepping 3 |
| Base Frequency | 1.10 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Transfer Rate | 1867 MT/s |
| Type | LPDDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
95
17.6 IPS |
|
|
Image Classification (HP)
|
100% |
75
13.9 IPS |
|
|
Image Classification (Q)
|
99% |
75
14.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
109
1.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
78
1.27 IPS |
|
|
Image Segmentation (Q)
|
100% |
80
1.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
594
0.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
415
0.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
352
0.41 IPS |
|
|
Object Detection (SP)
|
100% |
88
6.96 IPS |
|
|
Object Detection (HP)
|
100% |
77
6.11 IPS |
|
|
Object Detection (Q)
|
92% |
56
4.48 IPS |
|
|
Face Detection (SP)
|
100% |
282
3.35 IPS |
|
|
Face Detection (HP)
|
100% |
202
2.40 IPS |
|
|
Face Detection (Q)
|
100% |
118
1.40 IPS |
|
|
Depth Estimation (SP)
|
100% |
306
2.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
267
2.06 IPS |
|
|
Depth Estimation (Q)
|
97% |
274
2.11 IPS |
|
|
Style Transfer (SP)
|
100% |
670
0.86 IPS |
|
|
Style Transfer (HP)
|
100% |
608
0.78 IPS |
|
|
Style Transfer (Q)
|
100% |
623
0.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
376
13.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
195
7.18 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
136
5.04 IPS |
|
|
Text Classification (SP)
|
100% |
193
257.5 IPS |
|
|
Text Classification (HP)
|
100% |
172
229.5 IPS |
|
|
Text Classification (Q)
|
93% |
172
230.4 IPS |
|
|
Machine Translation (SP)
|
100% |
127
2.19 IPS |
|
|
Machine Translation (HP)
|
100% |
170
2.93 IPS |
|
|
Machine Translation (Q)
|
98% |
156
2.70 IPS |
