MacBook Pro (13-inch Mid 2020)
Geekbench AI Score
641
Single Precision Score
87
Half Precision Score
72
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| User | iantm |
| Upload Date | August 16 2025 12:37 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-8257U |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| Model | MacBook Pro (13-inch Mid 2020) |
| Model ID | MacBookPro16,3 |
| Motherboard | Apple Inc. Mac-E7203C0F68AA0004 MacBookPro16,3 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8257U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Transfer Rate | 2133 MT/s |
| Type | LPDDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
209
38.9 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
276
4.48 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
1808
2.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
421
0.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
408
0.48 IPS |
|
|
Object Detection (SP)
|
100% |
302
23.9 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
876
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
677
8.05 IPS |
|
|
Face Detection (Q)
|
100% |
286
3.40 IPS |
|
|
Depth Estimation (SP)
|
100% |
1026
7.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
737
5.68 IPS |
|
|
Depth Estimation (Q)
|
85% |
507
3.96 IPS |
|
|
Style Transfer (SP)
|
100% |
2796
3.59 IPS |
|
|
Style Transfer (HP)
|
100% |
1694
2.18 IPS |
|
|
Style Transfer (Q)
|
96% |
1420
1.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1217
44.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
389
14.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
273
10.1 IPS |
|
|
Text Classification (SP)
|
100% |
385
514.5 IPS |
|
|
Text Classification (HP)
|
100% |
391
522.2 IPS |
|
|
Text Classification (Q)
|
93% |
391
524.5 IPS |
|
|
Machine Translation (SP)
|
100% |
317
5.46 IPS |
|
|
Machine Translation (HP)
|
100% |
479
8.25 IPS |
|
|
Machine Translation (Q)
|
98% |
475
8.21 IPS |
