MacBook Air (11-inch Mid 2012)
Geekbench AI Score
157
Single Precision Score
129
Half Precision Score
62
Quantized Score
Geekbench AI 1.4.0 for macOS x86 (64-bit)
Result Information
| User | rothomp3 |
| Upload Date | August 19 2025 06:30 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel HD Graphics 4000 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| Model | MacBook Air (11-inch Mid 2012) |
| Model ID | MacBookAir5,1 |
| Motherboard | Apple Inc. Mac-66F35F19FE2A0D05 MacBookAir5,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-3317U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
| Transfer Rate | 1600 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
127
23.5 IPS |
|
|
Image Classification (HP)
|
100% |
117
21.8 IPS |
|
|
Image Classification (Q)
|
96% |
20
3.79 IPS |
|
|
Image Segmentation (SP)
|
100% |
76
1.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
75
1.21 IPS |
|
|
Image Segmentation (Q)
|
99% |
29
0.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
638
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
635
0.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
267
0.31 IPS |
|
|
Object Detection (SP)
|
100% |
113
8.93 IPS |
|
|
Object Detection (HP)
|
100% |
110
8.69 IPS |
|
|
Object Detection (Q)
|
92% |
24
1.95 IPS |
|
|
Face Detection (SP)
|
100% |
193
2.29 IPS |
|
|
Face Detection (HP)
|
100% |
185
2.20 IPS |
|
|
Face Detection (Q)
|
100% |
34
0.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
337
2.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
103
0.79 IPS |
|
|
Depth Estimation (Q)
|
85% |
98
0.77 IPS |
|
|
Style Transfer (SP)
|
100% |
592
0.76 IPS |
|
|
Style Transfer (HP)
|
100% |
263
0.34 IPS |
|
|
Style Transfer (Q)
|
96% |
255
0.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
157
5.79 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
59
2.19 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
55
2.02 IPS |
|
|
Text Classification (SP)
|
29% |
16
275.0 IPS |
|
|
Text Classification (HP)
|
71% |
79
114.3 IPS |
|
|
Text Classification (Q)
|
71% |
58
84.5 IPS |
|
|
Machine Translation (SP)
|
100% |
142
2.45 IPS |
|
|
Machine Translation (HP)
|
100% |
94
1.63 IPS |
|
|
Machine Translation (Q)
|
98% |
93
1.60 IPS |
