MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3222
Single Precision Score
5316
Half Precision Score
4396
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | CordonTi |
| Upload Date | January 03 2025 03:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1396
259.7 IPS |
|
|
Image Classification (HP)
|
100% |
2193
407.8 IPS |
|
|
Image Classification (Q)
|
96% |
1563
291.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2203
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2594
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6545
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
13938
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12059
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.2 IPS |
|
|
Object Detection (HP)
|
97% |
2424
193.0 IPS |
|
|
Object Detection (Q)
|
94% |
1795
143.1 IPS |
|
|
Face Detection (SP)
|
100% |
3051
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5512
65.5 IPS |
|
|
Face Detection (Q)
|
100% |
3209
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5805
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11049
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7665
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16744
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26011
33.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21904
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3736
137.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4582
169.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3382
124.9 IPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3998
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3975
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2484
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3809
65.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4242
73.3 IPS |
