MacBook Pro (13-inch Mid 2020)
Geekbench AI Score
1074
Single Precision Score
1062
Half Precision Score
519
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| Upload Date | May 22 2025 10:32 AM |
| Views | 3 |
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 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% |
569
105.8 IPS |
|
|
Image Classification (HP)
|
100% |
511
95.1 IPS |
|
|
Image Classification (Q)
|
96% |
148
27.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
350
5.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
348
5.64 IPS |
|
|
Image Segmentation (Q)
|
99% |
189
3.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
7970
9.30 IPS |
|
|
Pose Estimation (HP)
|
99% |
12442
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
2169
2.54 IPS |
|
|
Object Detection (SP)
|
100% |
656
52.0 IPS |
|
|
Object Detection (HP)
|
100% |
783
62.1 IPS |
|
|
Object Detection (Q)
|
93% |
167
13.3 IPS |
|
|
Face Detection (SP)
|
100% |
2228
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
1791
21.3 IPS |
|
|
Face Detection (Q)
|
100% |
269
3.19 IPS |
|
|
Depth Estimation (SP)
|
100% |
1708
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1583
12.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
1507
11.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3807
4.89 IPS |
|
|
Style Transfer (HP)
|
100% |
3722
4.78 IPS |
|
|
Style Transfer (Q)
|
96% |
3627
4.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
852
31.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
812
30.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
763
28.2 IPS |
|
|
Text Classification (SP)
|
100% |
249
332.6 IPS |
|
|
Text Classification (HP)
|
100% |
258
344.4 IPS |
|
|
Text Classification (Q)
|
93% |
255
342.1 IPS |
|
|
Machine Translation (SP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
479
8.24 IPS |
|
|
Machine Translation (Q)
|
98% |
491
8.48 IPS |
