MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3103
Single Precision Score
15875
Half Precision Score
15553
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 02:02 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5222f) |
| 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 | 1.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1143
212.5 IPS |
|
|
Image Classification (HP)
|
100% |
6075
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5826
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1284
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9750
158.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10183
165.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6303
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
69189
80.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
67054
78.6 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
99% |
7465
593.8 IPS |
|
|
Object Detection (Q)
|
91% |
6774
541.3 IPS |
|
|
Face Detection (SP)
|
100% |
3012
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
16835
200.0 IPS |
|
|
Face Detection (Q)
|
100% |
15448
183.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5674
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
48490
373.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
48915
382.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16965
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
122043
156.9 IPS |
|
|
Style Transfer (Q)
|
96% |
117819
152.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3630
134.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23757
877.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24113
890.4 IPS |
|
|
Text Classification (SP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3843
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3809
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2514
43.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3655
63.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3760
65.0 IPS |
