MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3201
Single Precision Score
15987
Half Precision Score
15743
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | dolpa_me |
| Upload Date | September 08 2025 09:20 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1410
262.2 IPS |
|
|
Image Classification (HP)
|
100% |
6282
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5947
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1360
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9670
156.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10027
162.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6488
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
69145
80.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
66954
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (HP)
|
99% |
7441
591.9 IPS |
|
|
Object Detection (Q)
|
91% |
7022
561.1 IPS |
|
|
Face Detection (SP)
|
100% |
2979
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
16845
200.2 IPS |
|
|
Face Detection (Q)
|
100% |
15394
182.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5679
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
48497
373.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
50236
392.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16933
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
122106
157.0 IPS |
|
|
Style Transfer (Q)
|
96% |
115226
148.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3672
135.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23763
877.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24469
903.5 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4030
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4068
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2492
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3653
62.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3762
65.0 IPS |
