MacBook Pro (13-inch Mid 2020)
Geekbench AI Score
728
Single Precision Score
492
Half Precision Score
367
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | kdw4gb |
| Upload Date | November 22 2024 06:37 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-1038NG7 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
299
55.7 IPS |
|
|
Image Classification (HP)
|
100% |
237
44.1 IPS |
|
|
Image Classification (Q)
|
96% |
149
27.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
371
6.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
298
4.83 IPS |
|
|
Image Segmentation (Q)
|
99% |
225
3.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
2535
2.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
580
0.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
541
0.63 IPS |
|
|
Object Detection (SP)
|
100% |
315
25.0 IPS |
|
|
Object Detection (HP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (Q)
|
92% |
173
13.8 IPS |
|
|
Face Detection (SP)
|
100% |
832
9.89 IPS |
|
|
Face Detection (HP)
|
100% |
631
7.50 IPS |
|
|
Face Detection (Q)
|
100% |
295
3.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
833
6.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
774
5.96 IPS |
|
|
Depth Estimation (Q)
|
85% |
556
4.35 IPS |
|
|
Style Transfer (SP)
|
100% |
2995
3.85 IPS |
|
|
Style Transfer (HP)
|
100% |
2056
2.64 IPS |
|
|
Style Transfer (Q)
|
96% |
1702
2.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1258
46.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
408
15.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
287
10.6 IPS |
|
|
Text Classification (SP)
|
100% |
423
564.7 IPS |
|
|
Text Classification (HP)
|
100% |
367
489.9 IPS |
|
|
Text Classification (Q)
|
93% |
356
477.2 IPS |
|
|
Machine Translation (SP)
|
100% |
431
7.43 IPS |
|
|
Machine Translation (HP)
|
100% |
509
8.77 IPS |
|
|
Machine Translation (Q)
|
98% |
507
8.76 IPS |
