MacBook (Early 2016)
Geekbench AI Score
196
Single Precision Score
197
Half Precision Score
117
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | vassk |
| Upload Date | August 16 2024 10:16 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) HD Graphics 515 |
| 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% |
151
28.1 IPS |
|
|
Image Classification (HP)
|
100% |
139
25.8 IPS |
|
|
Image Classification (Q)
|
99% |
137
25.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
101
1.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
102
1.65 IPS |
|
|
Image Segmentation (Q)
|
100% |
102
1.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
965
1.13 IPS |
|
|
Pose Estimation (HP)
|
99% |
1737
2.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
624
0.73 IPS |
|
|
Object Detection (SP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (HP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (Q)
|
94% |
59
4.70 IPS |
|
|
Face Detection (SP)
|
100% |
492
5.85 IPS |
|
|
Face Detection (HP)
|
100% |
469
5.57 IPS |
|
|
Face Detection (Q)
|
100% |
100
1.19 IPS |
|
|
Depth Estimation (SP)
|
100% |
195
1.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
188
1.45 IPS |
|
|
Depth Estimation (Q)
|
97% |
187
1.45 IPS |
|
|
Style Transfer (SP)
|
100% |
360
0.46 IPS |
|
|
Style Transfer (HP)
|
100% |
348
0.45 IPS |
|
|
Style Transfer (Q)
|
100% |
347
0.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
93
3.42 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
90
3.32 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
87
3.22 IPS |
|
|
Text Classification (SP)
|
98% |
80
106.7 IPS |
|
|
Text Classification (HP)
|
98% |
73
97.7 IPS |
|
|
Text Classification (Q)
|
89% |
16
20.9 IPS |
|
|
Machine Translation (SP)
|
100% |
169
2.91 IPS |
|
|
Machine Translation (HP)
|
100% |
112
1.92 IPS |
|
|
Machine Translation (Q)
|
98% |
112
1.93 IPS |
