MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2954
Single Precision Score
14716
Half Precision Score
14389
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MarkCX |
| Upload Date | March 05 2026 04:29 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1226
228.1 IPS |
|
|
Image Classification (HP)
|
100% |
6234
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5968
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1241
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8743
141.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9060
146.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5679
6.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
67625
78.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
63993
75.0 IPS |
|
|
Object Detection (SP)
|
100% |
1340
106.3 IPS |
|
|
Object Detection (HP)
|
99% |
7133
567.4 IPS |
|
|
Object Detection (Q)
|
91% |
6681
533.8 IPS |
|
|
Face Detection (SP)
|
100% |
2794
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
14038
166.8 IPS |
|
|
Face Detection (Q)
|
100% |
12849
152.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5066
39.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
45383
349.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
46734
365.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15505
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
120048
154.3 IPS |
|
|
Style Transfer (Q)
|
96% |
113551
146.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3413
126.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24065
888.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24318
898.0 IPS |
|
|
Text Classification (SP)
|
100% |
2433
3.25 KIPS |
|
|
Text Classification (HP)
|
99% |
4290
5.73 KIPS |
|
|
Text Classification (Q)
|
93% |
4255
5.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2400
41.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2296
39.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2334
40.3 IPS |
