MacBook Pro (13-inch Late 2020)
Geekbench AI Score
4637
Single Precision Score
5497
Half Precision Score
4847
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | iambjlu |
| Upload Date | November 06 2025 04:32 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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 | 3.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2205
410.2 IPS |
|
|
Image Classification (HP)
|
100% |
2360
438.9 IPS |
|
|
Image Classification (Q)
|
97% |
1921
358.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2460
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3537
57.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3541
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15908
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17669
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16443
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2410
191.1 IPS |
|
|
Object Detection (HP)
|
100% |
2457
194.9 IPS |
|
|
Object Detection (Q)
|
91% |
2025
161.8 IPS |
|
|
Face Detection (SP)
|
100% |
6158
73.2 IPS |
|
|
Face Detection (HP)
|
100% |
7339
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
5351
63.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10774
83.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12653
97.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
10747
84.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26917
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32889
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31377
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5758
212.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6343
234.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4950
182.8 IPS |
|
|
Text Classification (SP)
|
100% |
2090
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3497
4.67 KIPS |
|
|
Text Classification (Q)
|
93% |
3515
4.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1030
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1028
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1008
17.4 IPS |
