MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2859
Single Precision Score
4893
Half Precision Score
4288
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | June 26 2025 04:55 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 3.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1214
225.7 IPS |
|
|
Image Classification (HP)
|
100% |
1871
348.0 IPS |
|
|
Image Classification (Q)
|
99% |
2023
377.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1253
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1876
30.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
1943
31.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5757
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
12918
15.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10639
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1396
110.7 IPS |
|
|
Object Detection (HP)
|
97% |
2227
177.3 IPS |
|
|
Object Detection (Q)
|
94% |
1634
130.2 IPS |
|
|
Face Detection (SP)
|
100% |
2450
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
4763
56.6 IPS |
|
|
Face Detection (Q)
|
100% |
2930
34.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4917
37.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9617
74.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
9689
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15302
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23850
30.7 IPS |
|
|
Style Transfer (Q)
|
100% |
24365
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3189
117.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4290
158.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2775
102.8 IPS |
|
|
Text Classification (SP)
|
100% |
2190
2.92 KIPS |
|
|
Text Classification (HP)
|
99% |
3600
4.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3513
4.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2319
40.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4626
79.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4564
78.9 IPS |
