MacBook Pro (13-inch Mid 2020)
Geekbench AI Score
702
Single Precision Score
465
Half Precision Score
349
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | ktim8 |
| Upload Date | November 04 2024 04:18 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-1038NG7 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
293
54.6 IPS |
|
|
Image Classification (HP)
|
100% |
239
44.5 IPS |
|
|
Image Classification (Q)
|
96% |
145
27.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
369
5.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
301
4.87 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
2279
2.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
546
0.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
527
0.62 IPS |
|
|
Object Detection (SP)
|
100% |
317
25.1 IPS |
|
|
Object Detection (HP)
|
100% |
259
20.5 IPS |
|
|
Object Detection (Q)
|
92% |
170
13.6 IPS |
|
|
Face Detection (SP)
|
100% |
805
9.56 IPS |
|
|
Face Detection (HP)
|
100% |
604
7.17 IPS |
|
|
Face Detection (Q)
|
100% |
255
3.03 IPS |
|
|
Depth Estimation (SP)
|
100% |
857
6.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
742
5.72 IPS |
|
|
Depth Estimation (Q)
|
85% |
507
3.96 IPS |
|
|
Style Transfer (SP)
|
100% |
2913
3.74 IPS |
|
|
Style Transfer (HP)
|
100% |
1952
2.51 IPS |
|
|
Style Transfer (Q)
|
96% |
1610
2.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1075
39.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
403
14.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
279
10.3 IPS |
|
|
Text Classification (SP)
|
100% |
425
567.1 IPS |
|
|
Text Classification (HP)
|
100% |
318
423.8 IPS |
|
|
Text Classification (Q)
|
93% |
355
475.9 IPS |
|
|
Machine Translation (SP)
|
100% |
408
7.03 IPS |
|
|
Machine Translation (HP)
|
100% |
417
7.19 IPS |
|
|
Machine Translation (Q)
|
98% |
455
7.86 IPS |
