MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3236
Single Precision Score
14009
Half Precision Score
14188
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Hais |
| Upload Date | November 13 2024 12:24 AM |
| Views | 12 |
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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1381
256.8 IPS |
|
|
Image Classification (HP)
|
100% |
6414
1.19 KIPS |
|
|
Image Classification (Q)
|
99% |
6671
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1433
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6208
100.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
6213
100.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6470
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
68045
79.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
66264
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
99% |
7163
569.8 IPS |
|
|
Object Detection (Q)
|
91% |
6916
552.7 IPS |
|
|
Face Detection (SP)
|
100% |
3003
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
12875
153.0 IPS |
|
|
Face Detection (Q)
|
100% |
12958
154.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5819
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
44685
344.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
48401
374.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16959
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
119953
154.2 IPS |
|
|
Style Transfer (Q)
|
100% |
125789
161.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3771
139.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23806
879.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24627
912.4 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3935
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3915
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2534
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2321
40.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2289
39.6 IPS |
