MacBook Pro (13-inch Mid 2020)
Geekbench AI Score
621
Single Precision Score
419
Half Precision Score
302
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | elnoyo |
| Upload Date | December 04 2024 09:53 PM |
| Views | 15 |
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% |
266
49.4 IPS |
|
|
Image Classification (HP)
|
100% |
210
39.1 IPS |
|
|
Image Classification (Q)
|
96% |
135
25.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
339
5.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
272
4.41 IPS |
|
|
Image Segmentation (Q)
|
99% |
197
3.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
1930
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
539
0.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
497
0.58 IPS |
|
|
Object Detection (SP)
|
100% |
283
22.5 IPS |
|
|
Object Detection (HP)
|
100% |
248
19.7 IPS |
|
|
Object Detection (Q)
|
92% |
143
11.4 IPS |
|
|
Face Detection (SP)
|
100% |
740
8.79 IPS |
|
|
Face Detection (HP)
|
100% |
515
6.12 IPS |
|
|
Face Detection (Q)
|
100% |
229
2.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
763
5.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
649
5.00 IPS |
|
|
Depth Estimation (Q)
|
85% |
478
3.74 IPS |
|
|
Style Transfer (SP)
|
100% |
2566
3.30 IPS |
|
|
Style Transfer (HP)
|
100% |
1936
2.49 IPS |
|
|
Style Transfer (Q)
|
96% |
1565
2.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
940
34.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
379
14.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
264
9.74 IPS |
|
|
Text Classification (SP)
|
100% |
362
483.8 IPS |
|
|
Text Classification (HP)
|
100% |
265
353.8 IPS |
|
|
Text Classification (Q)
|
93% |
287
385.7 IPS |
|
|
Machine Translation (SP)
|
100% |
354
6.10 IPS |
|
|
Machine Translation (HP)
|
100% |
337
5.80 IPS |
|
|
Machine Translation (Q)
|
98% |
263
4.54 IPS |
