MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5269
Single Precision Score
6059
Half Precision Score
4921
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | March 12 2025 08:35 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5228e) |
| 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% |
2376
441.8 IPS |
|
|
Image Classification (HP)
|
100% |
1694
315.0 IPS |
|
|
Image Classification (Q)
|
99% |
2461
459.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3892
63.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4149
67.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
4135
67.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16301
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18671
21.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
17770
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2321
184.1 IPS |
|
|
Object Detection (HP)
|
100% |
2869
227.5 IPS |
|
|
Object Detection (Q)
|
92% |
2423
193.4 IPS |
|
|
Face Detection (SP)
|
100% |
6348
75.4 IPS |
|
|
Face Detection (HP)
|
100% |
7786
92.5 IPS |
|
|
Face Detection (Q)
|
100% |
7085
84.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11727
90.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13752
105.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
2124
16.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28340
36.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34268
44.1 IPS |
|
|
Style Transfer (Q)
|
100% |
34452
44.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6827
252.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7454
275.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5547
205.5 IPS |
|
|
Text Classification (SP)
|
100% |
2034
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
3936
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3915
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1610
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1646
28.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1690
29.2 IPS |
