MacBook Pro (13-inch Mid 2012)
Geekbench AI Score
170
Single Precision Score
137
Half Precision Score
46
Quantized Score
Geekbench AI 1.5.0 for macOS x86 (64-bit)
Result Information
| User | brianl831 |
| Upload Date | September 15 2025 01:08 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel HD Graphics 4000 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | MacBook Pro (13-inch Mid 2012) |
| Model ID | MacBookPro9,2 |
| Motherboard | Apple Inc. Mac-6F01561E16C75D06 MacBookPro9,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-3210M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 2.50 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% |
135
25.2 IPS |
|
|
Image Classification (HP)
|
100% |
126
23.3 IPS |
|
|
Image Classification (Q)
|
96% |
24
4.50 IPS |
|
|
Image Segmentation (SP)
|
100% |
82
1.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
82
1.32 IPS |
|
|
Image Segmentation (Q)
|
99% |
34
0.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
666
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
663
0.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
300
0.35 IPS |
|
|
Object Detection (SP)
|
100% |
117
9.31 IPS |
|
|
Object Detection (HP)
|
100% |
115
9.08 IPS |
|
|
Object Detection (Q)
|
92% |
29
2.28 IPS |
|
|
Face Detection (SP)
|
100% |
203
2.41 IPS |
|
|
Face Detection (HP)
|
100% |
195
2.32 IPS |
|
|
Face Detection (Q)
|
100% |
41
0.48 IPS |
|
|
Depth Estimation (SP)
|
100% |
350
2.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
105
0.81 IPS |
|
|
Depth Estimation (Q)
|
85% |
100
0.78 IPS |
|
|
Style Transfer (SP)
|
100% |
618
0.79 IPS |
|
|
Style Transfer (HP)
|
100% |
269
0.35 IPS |
|
|
Style Transfer (Q)
|
96% |
261
0.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
163
6.03 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62
2.30 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
56
2.07 IPS |
|
|
Text Classification (SP)
|
29% |
20
342.4 IPS |
|
|
Text Classification (HP)
|
71% |
83
120.1 IPS |
|
|
Text Classification (Q)
|
0
|
||
|
Machine Translation (SP)
|
100% |
164
2.82 IPS |
|
|
Machine Translation (HP)
|
100% |
108
1.86 IPS |
|
|
Machine Translation (Q)
|
98% |
108
1.87 IPS |
