MacBook Pro (13-inch Mid 2020)
Geekbench AI Score
802
Single Precision Score
97
Half Precision Score
83
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | OMD |
| Upload Date | June 17 2025 09:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-1068NG7 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (13-inch Mid 2020) |
| Model ID | MacBookPro16,2 |
| Motherboard | Apple Inc. Mac-5F9802EFE386AA28 MacBookPro16,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1068NG7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 2.30 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% |
331
61.6 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
401
6.50 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2917
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
619
0.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
606
0.71 IPS |
|
|
Object Detection (SP)
|
100% |
348
27.6 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
916
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
715
8.49 IPS |
|
|
Face Detection (Q)
|
100% |
347
4.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
1031
7.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
880
6.78 IPS |
|
|
Depth Estimation (Q)
|
85% |
630
4.92 IPS |
|
|
Style Transfer (SP)
|
100% |
3366
4.33 IPS |
|
|
Style Transfer (HP)
|
100% |
2255
2.90 IPS |
|
|
Style Transfer (Q)
|
96% |
1853
2.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1179
43.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
444
16.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
314
11.6 IPS |
|
|
Text Classification (SP)
|
100% |
485
647.0 IPS |
|
|
Text Classification (HP)
|
100% |
434
579.9 IPS |
|
|
Text Classification (Q)
|
93% |
433
581.0 IPS |
|
|
Machine Translation (SP)
|
100% |
451
7.78 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.26 IPS |
|
|
Machine Translation (Q)
|
98% |
522
9.02 IPS |
