MacBook Pro (13-inch Mid 2020)
Geekbench AI Score
698
Single Precision Score
559
Half Precision Score
409
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | C0rnfed1 |
| Upload Date | September 07 2024 02:52 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-1038NG7 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
285
53.0 IPS |
|
|
Image Classification (HP)
|
100% |
219
40.7 IPS |
|
|
Image Classification (Q)
|
96% |
140
26.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
320
5.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
220
3.56 IPS |
|
|
Image Segmentation (Q)
|
99% |
203
3.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
2614
3.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
1517
1.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
1280
1.50 IPS |
|
|
Object Detection (SP)
|
100% |
297
23.6 IPS |
|
|
Object Detection (HP)
|
100% |
246
19.5 IPS |
|
|
Object Detection (Q)
|
92% |
166
13.2 IPS |
|
|
Face Detection (SP)
|
100% |
763
9.06 IPS |
|
|
Face Detection (HP)
|
100% |
607
7.21 IPS |
|
|
Face Detection (Q)
|
100% |
297
3.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
964
7.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
843
6.50 IPS |
|
|
Depth Estimation (Q)
|
86% |
584
4.56 IPS |
|
|
Style Transfer (SP)
|
100% |
2871
3.69 IPS |
|
|
Style Transfer (HP)
|
100% |
2592
3.33 IPS |
|
|
Style Transfer (Q)
|
96% |
1962
2.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1157
42.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
805
29.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
426
15.7 IPS |
|
|
Text Classification (SP)
|
100% |
425
567.2 IPS |
|
|
Text Classification (HP)
|
100% |
361
482.5 IPS |
|
|
Text Classification (Q)
|
93% |
357
478.8 IPS |
|
|
Machine Translation (SP)
|
100% |
374
6.44 IPS |
|
|
Machine Translation (HP)
|
100% |
430
7.40 IPS |
|
|
Machine Translation (Q)
|
98% |
427
7.38 IPS |
