MacBook Pro (13-inch Mid 2018)
Geekbench AI Score
654
Single Precision Score
692
Half Precision Score
196
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | JoshuaChung |
| Upload Date | November 02 2024 03:22 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) Iris(TM) Plus Graphics 655 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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% |
591
109.9 IPS |
|
|
Image Classification (HP)
|
100% |
559
104.0 IPS |
|
|
Image Classification (Q)
|
96% |
124
23.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
178
2.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
189
3.07 IPS |
|
|
Image Segmentation (Q)
|
99% |
134
2.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
4728
5.52 IPS |
|
|
Pose Estimation (HP)
|
99% |
5204
6.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
1455
1.70 IPS |
|
|
Object Detection (SP)
|
100% |
586
46.5 IPS |
|
|
Object Detection (HP)
|
100% |
623
49.4 IPS |
|
|
Object Detection (Q)
|
94% |
145
11.5 IPS |
|
|
Face Detection (SP)
|
100% |
1940
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
1744
20.7 IPS |
|
|
Face Detection (Q)
|
100% |
201
2.39 IPS |
|
|
Depth Estimation (SP)
|
100% |
948
7.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
913
7.03 IPS |
|
|
Depth Estimation (Q)
|
1% |
3
6.97 IPS |
|
|
Style Transfer (SP)
|
100% |
1364
1.75 IPS |
|
|
Style Transfer (HP)
|
100% |
1645
2.11 IPS |
|
|
Style Transfer (Q)
|
96% |
1769
2.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
259
9.57 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
413
15.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
441
16.3 IPS |
|
|
Text Classification (SP)
|
98% |
143
191.9 IPS |
|
|
Text Classification (HP)
|
98% |
172
229.9 IPS |
|
|
Text Classification (Q)
|
89% |
168
226.3 IPS |
|
|
Machine Translation (SP)
|
100% |
532
9.16 IPS |
|
|
Machine Translation (HP)
|
100% |
399
6.88 IPS |
|
|
Machine Translation (Q)
|
98% |
306
5.29 IPS |
