MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5058
Single Precision Score
5964
Half Precision Score
5203
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jwchess |
| Upload Date | January 28 2025 01:32 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
2710
504.0 IPS |
|
|
Image Classification (HP)
|
100% |
2769
514.9 IPS |
|
|
Image Classification (Q)
|
97% |
2224
415.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2634
42.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3617
58.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3660
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17126
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18627
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17387
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
2767
219.5 IPS |
|
|
Object Detection (HP)
|
100% |
2765
219.3 IPS |
|
|
Object Detection (Q)
|
91% |
2244
179.3 IPS |
|
|
Face Detection (SP)
|
100% |
6621
78.7 IPS |
|
|
Face Detection (HP)
|
100% |
8409
99.9 IPS |
|
|
Face Detection (Q)
|
100% |
5740
68.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12182
93.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13504
104.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
11538
90.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28808
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34792
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32385
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6451
238.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7555
279.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5601
206.8 IPS |
|
|
Text Classification (SP)
|
100% |
2332
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4046
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4049
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
915
15.8 IPS |
|
|
Machine Translation (Q)
|
98% |
942
16.3 IPS |
