MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5439
Single Precision Score
6284
Half Precision Score
5889
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | SubAve |
| Upload Date | April 14 2025 08:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2275
423.1 IPS |
|
|
Image Classification (HP)
|
100% |
2475
460.3 IPS |
|
|
Image Classification (Q)
|
96% |
2400
448.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4017
65.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4270
69.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4088
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17106
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18677
21.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
18050
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
2684
212.9 IPS |
|
|
Object Detection (HP)
|
100% |
2705
214.6 IPS |
|
|
Object Detection (Q)
|
92% |
2483
198.2 IPS |
|
|
Face Detection (SP)
|
100% |
6625
78.7 IPS |
|
|
Face Detection (HP)
|
100% |
8197
97.4 IPS |
|
|
Face Detection (Q)
|
100% |
6881
81.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12225
94.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13757
106.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
12580
98.4 IPS |
|
|
Style Transfer (SP)
|
100% |
29034
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34903
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
34088
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6576
242.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7290
269.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6240
230.4 IPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4007
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3991
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1513
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1566
27.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1553
26.8 IPS |
