MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3229
Single Precision Score
14760
Half Precision Score
14388
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | MidniteMarv |
| Upload Date | February 17 2025 08:55 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| Model | MacBook Pro (13-inch Late 2020) |
| Model ID | MacBookPro17,1 |
| Motherboard | MacBookPro17,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1404
261.0 IPS |
|
|
Image Classification (HP)
|
100% |
6391
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6048
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1368
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6630
107.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6765
109.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6541
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
69038
80.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
66234
77.6 IPS |
|
|
Object Detection (SP)
|
100% |
1525
120.9 IPS |
|
|
Object Detection (HP)
|
99% |
7329
583.0 IPS |
|
|
Object Detection (Q)
|
91% |
6872
549.1 IPS |
|
|
Face Detection (SP)
|
100% |
3055
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
16906
200.9 IPS |
|
|
Face Detection (Q)
|
100% |
15530
184.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5828
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
48663
374.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
49321
385.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16851
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
122529
157.5 IPS |
|
|
Style Transfer (Q)
|
96% |
116062
149.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3721
137.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23836
880.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24478
903.9 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4042
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4025
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2499
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2358
40.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2331
40.3 IPS |
