MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3172
Single Precision Score
15851
Half Precision Score
15422
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 12:04 AM |
| Views | 8 |
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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1402
260.7 IPS |
|
|
Image Classification (HP)
|
100% |
6239
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5884
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1337
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9685
157.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9991
162.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6315
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
69066
80.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
66975
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
99% |
7313
581.7 IPS |
|
|
Object Detection (Q)
|
91% |
6710
536.2 IPS |
|
|
Face Detection (SP)
|
100% |
2975
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
16852
200.2 IPS |
|
|
Face Detection (Q)
|
100% |
15513
184.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5630
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
49287
379.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
48595
379.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16892
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
122042
156.9 IPS |
|
|
Style Transfer (Q)
|
96% |
114898
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3635
134.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23446
865.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24068
888.7 IPS |
|
|
Text Classification (SP)
|
100% |
2261
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3800
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3736
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2500
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3634
62.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3700
63.9 IPS |
