MacBook Pro (13-inch Mid 2020)
Geekbench AI Score
873
Single Precision Score
844
Half Precision Score
441
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | piotrga |
| Upload Date | September 08 2025 01:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) Iris(TM) Plus Graphics |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 32.00 GB |
| Transfer Rate | 3733 MT/s |
| Type | LPDDR4X |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
555
103.3 IPS |
|
|
Image Classification (HP)
|
100% |
471
87.6 IPS |
|
|
Image Classification (Q)
|
96% |
109
20.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
226
3.67 IPS |
|
|
Image Segmentation (Q)
|
99% |
164
2.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
7583
8.85 IPS |
|
|
Pose Estimation (HP)
|
99% |
11908
13.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
1503
1.76 IPS |
|
|
Object Detection (SP)
|
100% |
495
39.3 IPS |
|
|
Object Detection (HP)
|
100% |
440
34.9 IPS |
|
|
Object Detection (Q)
|
93% |
137
10.9 IPS |
|
|
Face Detection (SP)
|
100% |
1485
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
1546
18.4 IPS |
|
|
Face Detection (Q)
|
100% |
231
2.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
1624
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1510
11.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
1446
11.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3631
4.67 IPS |
|
|
Style Transfer (HP)
|
100% |
3564
4.58 IPS |
|
|
Style Transfer (Q)
|
96% |
3482
4.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
810
29.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
778
28.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
730
27.0 IPS |
|
|
Text Classification (SP)
|
100% |
209
278.8 IPS |
|
|
Text Classification (HP)
|
100% |
241
321.7 IPS |
|
|
Text Classification (Q)
|
93% |
242
324.6 IPS |
|
|
Machine Translation (SP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (HP)
|
100% |
212
3.66 IPS |
|
|
Machine Translation (Q)
|
98% |
374
6.46 IPS |
