MacBook Pro (13-inch Mid 2018)
Geekbench AI Score
694
Single Precision Score
570
Half Precision Score
459
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | kdw4gb |
| Upload Date | August 19 2024 08:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-8259U |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (13-inch Mid 2018) |
| Model ID | MacBookPro15,2 |
| Motherboard | Apple Inc. Mac-827FB448E656EC26 MacBookPro15,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8259U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2133 MT/s |
| Type | LPDDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
287
53.3 IPS |
|
|
Image Classification (HP)
|
100% |
223
41.4 IPS |
|
|
Image Classification (Q)
|
99% |
221
41.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
323
5.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
217
3.51 IPS |
|
|
Image Segmentation (Q)
|
100% |
216
3.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
2429
2.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
1441
1.68 IPS |
|
|
Pose Estimation (Q)
|
95% |
1167
1.37 IPS |
|
|
Object Detection (SP)
|
100% |
300
23.8 IPS |
|
|
Object Detection (HP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (Q)
|
92% |
155
12.4 IPS |
|
|
Face Detection (SP)
|
100% |
785
9.33 IPS |
|
|
Face Detection (HP)
|
100% |
652
7.75 IPS |
|
|
Face Detection (Q)
|
100% |
280
3.33 IPS |
|
|
Depth Estimation (SP)
|
100% |
996
7.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
819
6.31 IPS |
|
|
Depth Estimation (Q)
|
97% |
940
7.27 IPS |
|
|
Style Transfer (SP)
|
100% |
2994
3.85 IPS |
|
|
Style Transfer (HP)
|
100% |
2529
3.25 IPS |
|
|
Style Transfer (Q)
|
100% |
2516
3.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1395
51.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
928
34.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
431
16.0 IPS |
|
|
Text Classification (SP)
|
100% |
390
520.8 IPS |
|
|
Text Classification (HP)
|
100% |
388
517.7 IPS |
|
|
Text Classification (Q)
|
93% |
379
509.0 IPS |
|
|
Machine Translation (SP)
|
100% |
303
5.23 IPS |
|
|
Machine Translation (HP)
|
100% |
449
7.74 IPS |
|
|
Machine Translation (Q)
|
98% |
446
7.71 IPS |
