MacBook Pro (13-inch Mid 2020)
Geekbench AI Score
924
Single Precision Score
917
Half Precision Score
453
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | RAMFlux |
| Upload Date | May 09 2025 04:03 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) Iris(TM) Plus Graphics |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
541
100.6 IPS |
|
|
Image Classification (HP)
|
100% |
477
88.6 IPS |
|
|
Image Classification (Q)
|
96% |
134
25.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
215
3.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
220
3.56 IPS |
|
|
Image Segmentation (Q)
|
99% |
170
2.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
7713
9.00 IPS |
|
|
Pose Estimation (HP)
|
99% |
11973
14.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
1460
1.71 IPS |
|
|
Object Detection (SP)
|
100% |
589
46.7 IPS |
|
|
Object Detection (HP)
|
100% |
600
47.6 IPS |
|
|
Object Detection (Q)
|
93% |
156
12.5 IPS |
|
|
Face Detection (SP)
|
100% |
1806
21.5 IPS |
|
|
Face Detection (HP)
|
100% |
1709
20.3 IPS |
|
|
Face Detection (Q)
|
100% |
236
2.80 IPS |
|
|
Depth Estimation (SP)
|
100% |
1631
12.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1514
11.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
1452
11.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3629
4.67 IPS |
|
|
Style Transfer (HP)
|
100% |
3566
4.58 IPS |
|
|
Style Transfer (Q)
|
96% |
3487
4.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
811
29.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
781
28.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
737
27.2 IPS |
|
|
Text Classification (SP)
|
100% |
197
263.1 IPS |
|
|
Text Classification (HP)
|
100% |
206
274.5 IPS |
|
|
Text Classification (Q)
|
93% |
215
288.4 IPS |
|
|
Machine Translation (SP)
|
100% |
503
8.66 IPS |
|
|
Machine Translation (HP)
|
100% |
377
6.49 IPS |
|
|
Machine Translation (Q)
|
98% |
376
6.50 IPS |
