MacBook Pro (13-inch Mid 2020)
Geekbench AI Score
959
Single Precision Score
977
Half Precision Score
154
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| Upload Date | October 05 2024 07:21 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) Iris(TM) Plus Graphics |
| System Information | |
|---|---|
| Operating System | macOS 14.7 (Build 23H124) |
| Model | MacBook Pro (13-inch Mid 2020) |
| Model ID | MacBookPro16,2 |
| Motherboard | Apple Inc. Mac-5F9802EFE386AA28 MacBookPro16,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1038NG7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 3733 MT/s |
| Type | LPDDR4X |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
561
104.3 IPS |
|
|
Image Classification (HP)
|
100% |
577
107.4 IPS |
|
|
Image Classification (Q)
|
96% |
132
24.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
309
5.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
293
4.76 IPS |
|
|
Image Segmentation (Q)
|
99% |
169
2.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
7590
8.86 IPS |
|
|
Pose Estimation (HP)
|
99% |
11272
13.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
1982
2.32 IPS |
|
|
Object Detection (SP)
|
100% |
591
46.9 IPS |
|
|
Object Detection (HP)
|
100% |
602
47.7 IPS |
|
|
Object Detection (Q)
|
93% |
158
12.6 IPS |
|
|
Face Detection (SP)
|
100% |
1769
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
1729
20.5 IPS |
|
|
Face Detection (Q)
|
100% |
229
2.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
1608
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1515
11.7 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
11.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3536
4.55 IPS |
|
|
Style Transfer (HP)
|
100% |
3456
4.44 IPS |
|
|
Style Transfer (Q)
|
31% |
352
5.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
794
29.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
759
28.0 IPS |
|
|
Image Super-Resolution (Q)
|
40% |
183
28.1 IPS |
|
|
Text Classification (SP)
|
98% |
192
257.0 IPS |
|
|
Text Classification (HP)
|
98% |
226
302.2 IPS |
|
|
Text Classification (Q)
|
89% |
172
232.2 IPS |
|
|
Machine Translation (SP)
|
100% |
556
9.58 IPS |
|
|
Machine Translation (HP)
|
100% |
448
7.72 IPS |
|
|
Machine Translation (Q)
|
98% |
429
7.41 IPS |
