MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2983
Single Precision Score
15247
Half Precision Score
15095
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | iambjlu |
| Upload Date | November 06 2025 04:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1321
245.7 IPS |
|
|
Image Classification (HP)
|
100% |
5777
1.07 KIPS |
|
|
Image Classification (Q)
|
96% |
5450
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1277
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9422
152.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9970
161.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5985
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
69019
80.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
66038
77.4 IPS |
|
|
Object Detection (SP)
|
100% |
1435
113.8 IPS |
|
|
Object Detection (HP)
|
99% |
6965
554.0 IPS |
|
|
Object Detection (Q)
|
91% |
6487
518.4 IPS |
|
|
Face Detection (SP)
|
100% |
2762
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
15434
183.4 IPS |
|
|
Face Detection (Q)
|
100% |
14831
176.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5418
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
48386
372.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
49511
386.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15139
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
121383
156.0 IPS |
|
|
Style Transfer (Q)
|
96% |
116788
150.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3421
126.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23615
872.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24822
916.6 IPS |
|
|
Text Classification (SP)
|
100% |
2124
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3659
4.88 KIPS |
|
|
Text Classification (Q)
|
93% |
3611
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2342
40.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3315
57.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3435
59.4 IPS |
