MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3174
Single Precision Score
14891
Half Precision Score
14533
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | July 19 2025 03:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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% |
1383
257.1 IPS |
|
|
Image Classification (HP)
|
100% |
6269
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5944
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1347
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8904
144.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9212
149.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6453
7.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
68262
79.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
64664
75.8 IPS |
|
|
Object Detection (SP)
|
100% |
1485
117.8 IPS |
|
|
Object Detection (HP)
|
99% |
7120
566.4 IPS |
|
|
Object Detection (Q)
|
91% |
6499
519.3 IPS |
|
|
Face Detection (SP)
|
100% |
2937
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
13962
165.9 IPS |
|
|
Face Detection (Q)
|
100% |
13005
154.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5629
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
45844
353.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
46139
360.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16743
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
121902
156.7 IPS |
|
|
Style Transfer (Q)
|
96% |
113970
147.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3682
136.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23889
882.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24081
889.2 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3919
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3951
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2487
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2706
46.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2808
48.5 IPS |
