MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5324
Single Precision Score
6214
Half Precision Score
5795
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 01:39 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5222f) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1838
341.8 IPS |
|
|
Image Classification (HP)
|
100% |
2200
409.2 IPS |
|
|
Image Classification (Q)
|
96% |
2075
387.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4007
65.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4232
68.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4058
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17129
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18729
21.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
18066
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2649
210.1 IPS |
|
|
Object Detection (HP)
|
100% |
2694
213.7 IPS |
|
|
Object Detection (Q)
|
92% |
2491
198.8 IPS |
|
|
Face Detection (SP)
|
100% |
6807
80.9 IPS |
|
|
Face Detection (HP)
|
100% |
8330
99.0 IPS |
|
|
Face Detection (Q)
|
100% |
7060
83.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12027
92.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13820
106.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
12713
99.4 IPS |
|
|
Style Transfer (SP)
|
100% |
29172
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35359
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
34125
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6596
243.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7213
266.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6011
222.0 IPS |
|
|
Text Classification (SP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3978
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3960
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1525
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1566
27.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1546
26.7 IPS |
