MacBook Pro (13-inch Mid 2018)
Geekbench AI Score
778
Single Precision Score
525
Half Precision Score
385
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | NycDriipy |
| Upload Date | December 15 2024 07:33 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8559U |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (13-inch Mid 2018) |
| Model ID | MacBookPro15,2 |
| Motherboard | Apple Inc. Mac-827FB448E656EC26 MacBookPro15,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8559U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 2.70 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% |
318
59.1 IPS |
|
|
Image Classification (HP)
|
100% |
268
49.9 IPS |
|
|
Image Classification (Q)
|
96% |
159
29.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
413
6.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
329
5.34 IPS |
|
|
Image Segmentation (Q)
|
99% |
236
3.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
2665
3.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
528
0.62 IPS |
|
|
Pose Estimation (Q)
|
96% |
497
0.58 IPS |
|
|
Object Detection (SP)
|
100% |
328
26.0 IPS |
|
|
Object Detection (HP)
|
100% |
281
22.3 IPS |
|
|
Object Detection (Q)
|
92% |
185
14.7 IPS |
|
|
Face Detection (SP)
|
100% |
965
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
765
9.09 IPS |
|
|
Face Detection (Q)
|
100% |
324
3.85 IPS |
|
|
Depth Estimation (SP)
|
100% |
1141
8.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
837
6.45 IPS |
|
|
Depth Estimation (Q)
|
85% |
583
4.56 IPS |
|
|
Style Transfer (SP)
|
100% |
3204
4.12 IPS |
|
|
Style Transfer (HP)
|
100% |
2006
2.58 IPS |
|
|
Style Transfer (Q)
|
96% |
1679
2.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1323
48.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
439
16.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
307
11.4 IPS |
|
|
Text Classification (SP)
|
100% |
450
600.8 IPS |
|
|
Text Classification (HP)
|
100% |
443
591.1 IPS |
|
|
Text Classification (Q)
|
93% |
445
597.0 IPS |
|
|
Machine Translation (SP)
|
100% |
338
5.82 IPS |
|
|
Machine Translation (HP)
|
100% |
492
8.47 IPS |
|
|
Machine Translation (Q)
|
98% |
487
8.41 IPS |
