MacBook Pro (13-inch Late 2020)
Geekbench AI Score
1696
Single Precision Score
12051
Half Precision Score
12246
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | ragnarokchan |
| Upload Date | August 16 2024 01:11 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
910
169.3 IPS |
|
|
Image Classification (HP)
|
100% |
6219
1.16 KIPS |
|
|
Image Classification (Q)
|
99% |
6445
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
602
9.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
4154
67.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
4200
68.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5464
6.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
66836
78.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
63810
74.8 IPS |
|
|
Object Detection (SP)
|
100% |
947
75.1 IPS |
|
|
Object Detection (HP)
|
99% |
6871
546.5 IPS |
|
|
Object Detection (Q)
|
93% |
6299
502.6 IPS |
|
|
Face Detection (SP)
|
100% |
1562
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
11605
137.9 IPS |
|
|
Face Detection (Q)
|
100% |
11818
140.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3131
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
43018
331.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
45729
353.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9349
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
115114
148.0 IPS |
|
|
Style Transfer (Q)
|
100% |
120634
155.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2493
92.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17629
651.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
20260
750.6 IPS |
|
|
Text Classification (SP)
|
100% |
545
727.7 IPS |
|
|
Text Classification (HP)
|
100% |
2497
3.33 KIPS |
|
|
Text Classification (Q)
|
93% |
2442
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1121
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2153
37.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2162
37.4 IPS |
