MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3114
Single Precision Score
5123
Half Precision Score
4528
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | January 17 2025 09:29 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5055b) |
| 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% |
1339
249.0 IPS |
|
|
Image Classification (HP)
|
100% |
2110
392.5 IPS |
|
|
Image Classification (Q)
|
99% |
2165
403.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
2168
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6520
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
13889
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11874
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1487
117.9 IPS |
|
|
Object Detection (HP)
|
97% |
2374
189.0 IPS |
|
|
Object Detection (Q)
|
94% |
1783
142.1 IPS |
|
|
Face Detection (SP)
|
100% |
3007
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
5333
63.4 IPS |
|
|
Face Detection (Q)
|
100% |
3070
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5482
42.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10362
80.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
10252
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15157
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25833
33.2 IPS |
|
|
Style Transfer (Q)
|
100% |
26069
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3424
126.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4116
152.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3061
113.4 IPS |
|
|
Text Classification (SP)
|
100% |
2263
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3870
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3867
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2464
42.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3703
64.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3760
65.0 IPS |
