MacBook Pro (13-inch Mid 2018)
Geekbench AI Score
788
Single Precision Score
796
Half Precision Score
455
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | kdw4gb |
| Upload Date | August 19 2024 09:04 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) Iris(TM) Plus Graphics 655 |
| 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% |
609
113.2 IPS |
|
|
Image Classification (HP)
|
100% |
561
104.3 IPS |
|
|
Image Classification (Q)
|
99% |
674
125.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
205
3.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
208
3.37 IPS |
|
|
Image Segmentation (Q)
|
100% |
209
3.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
5991
6.99 IPS |
|
|
Pose Estimation (HP)
|
99% |
10117
11.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
1438
1.68 IPS |
|
|
Object Detection (SP)
|
100% |
598
47.5 IPS |
|
|
Object Detection (HP)
|
100% |
621
49.3 IPS |
|
|
Object Detection (Q)
|
94% |
147
11.7 IPS |
|
|
Face Detection (SP)
|
100% |
2006
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
1989
23.6 IPS |
|
|
Face Detection (Q)
|
100% |
201
2.39 IPS |
|
|
Depth Estimation (SP)
|
100% |
980
7.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
943
7.27 IPS |
|
|
Depth Estimation (Q)
|
97% |
957
7.40 IPS |
|
|
Style Transfer (SP)
|
100% |
1987
2.55 IPS |
|
|
Style Transfer (HP)
|
100% |
1952
2.51 IPS |
|
|
Style Transfer (Q)
|
100% |
1958
2.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
468
17.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
462
17.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
437
16.2 IPS |
|
|
Text Classification (SP)
|
98% |
195
260.6 IPS |
|
|
Text Classification (HP)
|
98% |
188
252.4 IPS |
|
|
Text Classification (Q)
|
89% |
179
240.8 IPS |
|
|
Machine Translation (SP)
|
100% |
582
10.0 IPS |
|
|
Machine Translation (HP)
|
100% |
440
7.57 IPS |
|
|
Machine Translation (Q)
|
98% |
437
7.56 IPS |
