MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3166
Single Precision Score
13840
Half Precision Score
13912
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Hais |
| Upload Date | November 08 2024 08:59 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1392
258.9 IPS |
|
|
Image Classification (HP)
|
100% |
6363
1.18 KIPS |
|
|
Image Classification (Q)
|
99% |
6587
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1378
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6148
99.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
6157
99.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6396
7.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
67866
79.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
63133
74.1 IPS |
|
|
Object Detection (SP)
|
100% |
1485
117.8 IPS |
|
|
Object Detection (HP)
|
99% |
6898
548.7 IPS |
|
|
Object Detection (Q)
|
91% |
6789
542.5 IPS |
|
|
Face Detection (SP)
|
100% |
2938
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
12894
153.2 IPS |
|
|
Face Detection (Q)
|
100% |
12870
152.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5625
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
43827
337.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
47079
364.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16364
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
118074
151.8 IPS |
|
|
Style Transfer (Q)
|
100% |
123782
159.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3688
136.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24247
895.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24149
894.7 IPS |
|
|
Text Classification (SP)
|
100% |
2249
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3804
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3801
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2481
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2288
39.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2271
39.2 IPS |
