MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2971
Single Precision Score
14468
Half Precision Score
14199
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | September 20 2025 12:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1259
234.1 IPS |
|
|
Image Classification (HP)
|
100% |
6089
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5774
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1283
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8533
138.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8899
144.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5715
6.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
61679
72.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
60554
71.0 IPS |
|
|
Object Detection (SP)
|
100% |
1339
106.2 IPS |
|
|
Object Detection (HP)
|
99% |
6803
541.1 IPS |
|
|
Object Detection (Q)
|
91% |
6215
496.6 IPS |
|
|
Face Detection (SP)
|
100% |
2864
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
13206
156.9 IPS |
|
|
Face Detection (Q)
|
100% |
12633
150.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5248
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
44856
345.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
46004
359.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15633
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
115388
148.3 IPS |
|
|
Style Transfer (Q)
|
96% |
106139
137.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3305
122.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23892
882.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24253
895.6 IPS |
|
|
Text Classification (SP)
|
100% |
2332
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
4118
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4097
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2396
41.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2742
47.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2811
48.6 IPS |
