MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3054
Single Precision Score
14659
Half Precision Score
15112
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | February 17 2025 04:29 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1285
238.9 IPS |
|
|
Image Classification (HP)
|
100% |
6261
1.16 KIPS |
|
|
Image Classification (Q)
|
99% |
6390
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1246
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8370
135.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
8182
132.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5963
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
68307
79.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
67144
78.8 IPS |
|
|
Object Detection (SP)
|
100% |
1505
119.4 IPS |
|
|
Object Detection (HP)
|
99% |
6862
545.9 IPS |
|
|
Object Detection (Q)
|
91% |
6926
553.5 IPS |
|
|
Face Detection (SP)
|
100% |
2880
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
13076
155.4 IPS |
|
|
Face Detection (Q)
|
100% |
13708
162.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5419
41.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
44414
342.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
45206
349.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16600
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
113904
146.4 IPS |
|
|
Style Transfer (Q)
|
100% |
126528
162.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3479
128.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22895
845.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
25031
927.4 IPS |
|
|
Text Classification (SP)
|
100% |
2183
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3866
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3788
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2500
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3186
54.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3438
59.4 IPS |
