MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2832
Single Precision Score
4289
Half Precision Score
3551
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | ragnarokchan |
| Upload Date | August 16 2024 01:49 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1313
244.1 IPS |
|
|
Image Classification (HP)
|
100% |
1693
314.9 IPS |
|
|
Image Classification (Q)
|
99% |
1688
314.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1168
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1157
18.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1155
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5845
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
13507
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11534
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1400
111.0 IPS |
|
|
Object Detection (HP)
|
97% |
1950
155.3 IPS |
|
|
Object Detection (Q)
|
94% |
1522
121.4 IPS |
|
|
Face Detection (SP)
|
100% |
2359
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
4009
47.6 IPS |
|
|
Face Detection (Q)
|
100% |
2637
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5211
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8175
63.2 IPS |
|
|
Depth Estimation (Q)
|
96% |
3883
30.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15858
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24946
32.1 IPS |
|
|
Style Transfer (Q)
|
100% |
24745
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3367
124.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4531
167.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3360
124.5 IPS |
|
|
Text Classification (SP)
|
100% |
2273
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3624
4.84 KIPS |
|
|
Text Classification (Q)
|
93% |
3579
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1777
30.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3047
52.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3061
52.9 IPS |
