MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2167
Single Precision Score
3589
Half Precision Score
2885
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | July 18 2025 04:59 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
912
169.7 IPS |
|
|
Image Classification (HP)
|
100% |
1396
259.6 IPS |
|
|
Image Classification (Q)
|
96% |
983
183.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
917
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1474
23.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1626
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4264
4.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
9293
10.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
7935
9.30 IPS |
|
|
Object Detection (SP)
|
100% |
1009
80.0 IPS |
|
|
Object Detection (HP)
|
97% |
1587
126.4 IPS |
|
|
Object Detection (Q)
|
94% |
1148
91.5 IPS |
|
|
Face Detection (SP)
|
100% |
2130
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
3655
43.4 IPS |
|
|
Face Detection (Q)
|
100% |
2053
24.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3699
28.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
6793
52.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
4691
36.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11175
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17465
22.5 IPS |
|
|
Style Transfer (Q)
|
96% |
14321
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2513
92.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3124
115.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2303
85.0 IPS |
|
|
Text Classification (SP)
|
100% |
1534
2.05 KIPS |
|
|
Text Classification (HP)
|
99% |
2565
3.42 KIPS |
|
|
Text Classification (Q)
|
93% |
2568
3.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1871
32.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3367
58.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3368
58.2 IPS |
