MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2985
Single Precision Score
14533
Half Precision Score
14420
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Tom34772 |
| Upload Date | October 26 2025 03:43 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5072a) |
| 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 | 3.14 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1292
240.2 IPS |
|
|
Image Classification (HP)
|
100% |
6035
1.12 KIPS |
|
|
Image Classification (Q)
|
96% |
5700
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1266
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8769
142.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8910
144.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5826
6.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
66477
77.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
65862
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
1356
107.6 IPS |
|
|
Object Detection (HP)
|
99% |
6916
550.2 IPS |
|
|
Object Detection (Q)
|
91% |
6689
534.4 IPS |
|
|
Face Detection (SP)
|
100% |
2917
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
13165
156.4 IPS |
|
|
Face Detection (Q)
|
100% |
12985
154.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5277
40.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
46392
357.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
46318
362.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15875
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
119882
154.1 IPS |
|
|
Style Transfer (Q)
|
96% |
112594
145.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3293
121.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23444
865.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23289
860.0 IPS |
|
|
Text Classification (SP)
|
100% |
2270
3.03 KIPS |
|
|
Text Classification (HP)
|
99% |
3958
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3966
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2381
41.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2543
43.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2778
48.0 IPS |
