MacBook Pro (13-inch Retina)
Geekbench AI Score
205
Single Precision Score
53
Half Precision Score
34
Quantized Score
Geekbench AI 1.1.0 for macOS x86 (64-bit)
Result Information
| Upload Date | September 18 2024 08:42 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-3210M |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| Model | MacBook Pro (13-inch Retina) |
| Model ID | MacBookPro10,2 |
| Motherboard | Apple Inc. Mac-AFD8A9D944EA4843 MacBookPro10,2 |
| 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 | 8.00 GB |
| Transfer Rate | 1600 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
99
18.3 IPS |
|
|
Image Classification (HP)
|
100% |
85
15.7 IPS |
|
|
Image Classification (Q)
|
96% |
32
5.98 IPS |
|
|
Image Segmentation (SP)
|
100% |
117
1.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
62
1.01 IPS |
|
|
Image Segmentation (Q)
|
99% |
43
0.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
491
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
94
0.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
94
0.11 IPS |
|
|
Object Detection (SP)
|
100% |
91
7.25 IPS |
|
|
Object Detection (HP)
|
100% |
80
6.32 IPS |
|
|
Object Detection (Q)
|
92% |
35
2.82 IPS |
|
|
Face Detection (SP)
|
100% |
260
3.09 IPS |
|
|
Face Detection (HP)
|
100% |
188
2.23 IPS |
|
|
Face Detection (Q)
|
100% |
52
0.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
230
1.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
141
1.09 IPS |
|
|
Depth Estimation (Q)
|
85% |
91
0.71 IPS |
|
|
Style Transfer (SP)
|
100% |
573
0.74 IPS |
|
|
Style Transfer (HP)
|
100% |
329
0.42 IPS |
|
|
Style Transfer (Q)
|
96% |
284
0.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
271
10.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
85
3.16 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
53
1.95 IPS |
|
|
Text Classification (SP)
|
100% |
186
248.7 IPS |
|
|
Text Classification (HP)
|
29% |
7
117.8 IPS |
|
|
Text Classification (Q)
|
29% |
7
118.9 IPS |
|
|
Machine Translation (SP)
|
100% |
147
2.52 IPS |
|
|
Machine Translation (HP)
|
0% |
0
0.28 IPS |
|
|
Machine Translation (Q)
|
0% |
0
0.28 IPS |
