MacBook Air (11-inch Mid 2012)
Geekbench AI Score
182
Single Precision Score
13
Half Precision Score
10
Quantized Score
Geekbench AI 1.4.0 for macOS x86 (64-bit)
Result Information
| User | rothomp3 |
| Upload Date | August 19 2025 07:19 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-3317U |
| 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% |
79
14.8 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
101
1.64 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
407
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
87
0.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
79
0.09 IPS |
|
|
Object Detection (SP)
|
100% |
82
6.48 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
262
3.11 IPS |
|
|
Face Detection (HP)
|
100% |
188
2.23 IPS |
|
|
Face Detection (Q)
|
100% |
48
0.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
226
1.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
129
1.00 IPS |
|
|
Depth Estimation (Q)
|
85% |
82
0.64 IPS |
|
|
Style Transfer (SP)
|
100% |
572
0.74 IPS |
|
|
Style Transfer (HP)
|
100% |
305
0.39 IPS |
|
|
Style Transfer (Q)
|
96% |
241
0.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
234
8.65 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
72
2.67 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
44
1.63 IPS |
|
|
Text Classification (SP)
|
100% |
152
203.4 IPS |
|
|
Text Classification (HP)
|
29% |
6
96.7 IPS |
|
|
Text Classification (Q)
|
29% |
6
96.3 IPS |
|
|
Machine Translation (SP)
|
100% |
126
2.17 IPS |
|
|
Machine Translation (HP)
|
0% |
0
0.67 IPS |
|
|
Machine Translation (Q)
|
0% |
0
0.67 IPS |
