MacBook Pro (13-inch Mid 2020)
Geekbench AI Score
974
Single Precision Score
992
Half Precision Score
443
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | ktim8 |
| Upload Date | November 04 2024 04:25 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) Iris(TM) Plus Graphics |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
715
133.0 IPS |
|
|
Image Classification (HP)
|
100% |
701
130.3 IPS |
|
|
Image Classification (Q)
|
96% |
114
21.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
255
4.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
259
4.20 IPS |
|
|
Image Segmentation (Q)
|
99% |
159
2.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
7716
9.00 IPS |
|
|
Pose Estimation (HP)
|
99% |
12349
14.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
1837
2.15 IPS |
|
|
Object Detection (SP)
|
100% |
637
50.6 IPS |
|
|
Object Detection (HP)
|
100% |
616
48.9 IPS |
|
|
Object Detection (Q)
|
93% |
145
11.5 IPS |
|
|
Face Detection (SP)
|
100% |
1918
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
1923
22.9 IPS |
|
|
Face Detection (Q)
|
100% |
221
2.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
1620
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1508
11.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
1443
11.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3624
4.66 IPS |
|
|
Style Transfer (HP)
|
100% |
3554
4.57 IPS |
|
|
Style Transfer (Q)
|
96% |
3470
4.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
806
29.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
774
28.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
753
27.8 IPS |
|
|
Text Classification (SP)
|
100% |
209
279.6 IPS |
|
|
Text Classification (HP)
|
100% |
194
259.1 IPS |
|
|
Text Classification (Q)
|
93% |
166
223.1 IPS |
|
|
Machine Translation (SP)
|
100% |
456
7.85 IPS |
|
|
Machine Translation (HP)
|
100% |
435
7.49 IPS |
|
|
Machine Translation (Q)
|
98% |
444
7.68 IPS |
