MacBook Pro (13-inch Mid 2020)
Geekbench AI Score
775
Single Precision Score
96
Half Precision Score
81
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | CosmicJetta |
| Upload Date | May 23 2025 02:55 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-1038NG7 |
| 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 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% |
311
57.9 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
377
6.11 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2743
3.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
610
0.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
573
0.67 IPS |
|
|
Object Detection (SP)
|
100% |
327
25.9 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
864
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
670
7.96 IPS |
|
|
Face Detection (Q)
|
100% |
329
3.91 IPS |
|
|
Depth Estimation (SP)
|
100% |
977
7.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
829
6.39 IPS |
|
|
Depth Estimation (Q)
|
85% |
590
4.61 IPS |
|
|
Style Transfer (SP)
|
100% |
3122
4.01 IPS |
|
|
Style Transfer (HP)
|
100% |
2116
2.72 IPS |
|
|
Style Transfer (Q)
|
96% |
1779
2.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1291
47.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
419
15.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
299
11.1 IPS |
|
|
Text Classification (SP)
|
100% |
487
650.7 IPS |
|
|
Text Classification (HP)
|
100% |
422
563.4 IPS |
|
|
Text Classification (Q)
|
93% |
422
567.0 IPS |
|
|
Machine Translation (SP)
|
100% |
453
7.81 IPS |
|
|
Machine Translation (HP)
|
100% |
537
9.26 IPS |
|
|
Machine Translation (Q)
|
98% |
539
9.31 IPS |
