MacBook Pro (13-inch Retina Early 2015)
Geekbench AI Score
324
Single Precision Score
221
Half Precision Score
179
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | Jouwee |
| Upload Date | October 29 2024 08:45 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-5257U |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| Model | MacBook Pro (13-inch Retina Early 2015) |
| Model ID | MacBookPro12,1 |
| Motherboard | Apple Inc. Mac-E43C1C25D4880AD6 MacBookPro12,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-5257U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 61 Stepping 4 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Transfer Rate | 1867 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
143
26.6 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.6 IPS |
|
|
Image Classification (Q)
|
96% |
84
15.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
164
2.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
144
2.33 IPS |
|
|
Image Segmentation (Q)
|
99% |
119
1.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
1076
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
199
0.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
194
0.23 IPS |
|
|
Object Detection (SP)
|
100% |
125
9.89 IPS |
|
|
Object Detection (HP)
|
100% |
109
8.65 IPS |
|
|
Object Detection (Q)
|
92% |
82
6.51 IPS |
|
|
Face Detection (SP)
|
100% |
368
4.37 IPS |
|
|
Face Detection (HP)
|
100% |
279
3.32 IPS |
|
|
Face Detection (Q)
|
100% |
152
1.81 IPS |
|
|
Depth Estimation (SP)
|
100% |
420
3.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
316
2.43 IPS |
|
|
Depth Estimation (Q)
|
85% |
242
1.89 IPS |
|
|
Style Transfer (SP)
|
100% |
1131
1.45 IPS |
|
|
Style Transfer (HP)
|
100% |
731
0.94 IPS |
|
|
Style Transfer (Q)
|
96% |
671
0.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
488
18.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
166
6.15 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
133
4.92 IPS |
|
|
Text Classification (SP)
|
100% |
263
350.9 IPS |
|
|
Text Classification (HP)
|
100% |
277
369.2 IPS |
|
|
Text Classification (Q)
|
93% |
273
366.0 IPS |
|
|
Machine Translation (SP)
|
100% |
184
3.16 IPS |
|
|
Machine Translation (HP)
|
100% |
250
4.30 IPS |
|
|
Machine Translation (Q)
|
98% |
248
4.28 IPS |
